#Long-term Care Software Market
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Revolutionizing Healthcare: Long-Term Care Software Market Surges, Projected to Exceed USD 10.9 Billion by 2032
The long-term care software market is expected to reach a significant USD 3,877 million in 2022 and is expected to increase significantly. An even more optimistic picture is painted by projections for 2032, when the expected valuation is expected to surpass USD 10,988 million, representing an outstanding CAGR of 11% for the projected period (2022-2032). This increase reflects a paradigm change in healthcare administration as more and more facilities use advanced software to improve the effectiveness and caliber of long-term care services.
Various government initiatives across the globe to curtail the increasing healthcare cost is the factor which is fueling the growth of the long-term care software market.
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Multiple applications of long-term care software such as the long-term care software analyze millions of data records and quickly spot potential issues before they become problems, and it enables mental health providers to manage remote patient video conferencing, scheduling, and messaging are playing a crucial role in the rapid adoption of long-term care software.
Global Long-term Care Software Market: Drivers and Challenges
Drivers
The digitalization in healthcare technology is the primary factor which is driving the growth of long-term care software market. Also, changing healthcare infrastructure, shortage of medical staff and adoption of technological solutions in the healthcare institutions is the key growth driver of the long-term care software market.
Moreover, limited healthcare specialists and different initiatives taken by the government bodies worldwide to reduce the medical cost are fueling the growth of long-term care software market.
Apart from this, the increase in the number of healthcare organizations and the increasing usage of mobile devices in the healthcare organizations are the major factors which are fueling the growth of the long-term care software market.
Challenges
The high cost of software maintenance is the primary factor which may hinder the growth of the long-term care software market in the near future. Also, the unwillingness of the traditional long-term care providers to adopt new software is one of the major factors which hampers the growth of the long-term care software market in the near future.
Key Players
The prominent players in long-term care software market are: Allscripts Healthcare Solutions, Inc., Cerner Solutions, Omnicare, Inc., Omnicell, Inc., HealthMEDX, LLC, McKesson Corporation, Optimus EMR, Inc., PointClickCare, MatrixCare, and SigmaCare.
Global Long-term Care Software Market: Regional Overview
On the geographic basis, North America is anticipated to capture largest market share, owing to the well developed and established healthcare industry, and higher adoption of long-term care software in the region.
Europe and APAC are also expected to gain substantial market share due to the rapid infrastructural development in the healthcare sector. Also, APAC is expected to be the fastest growing long-term care software market owing to the government initiatives taken in the healthcare sector by the emerging economies such as India, China, and Japan.
The Long-term Care Software market in Latin America and MEA are expected to witness high growth rates in the coming period due to the rise in digital technologies and increasing adoption of mobile devices in the healthcare sector of the region.
The research report presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, and statistically supported and industry-validated market data.
It also contains projections using a suitable set of assumptions and methodologies. The research report provides analysis and information according to market segments such as geographies, application, and industry.
Key Segments
By Delivery Modes:
Cloud-based
On-premises
Web-based
By End User:
Assisted Living Facilities
Home Health Agencies
Nursing Homes
By Region:
North America
Latin America
Asia Pacific
Europe
MEA
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https://carbonfacesocial.org/blogs/85858/Long-term-Care-Software-Market-Analysis-Size-Share-and-Forecast
The Long-term Care Software Market in 2023 is US$ 3.37 billion, and is expected to reach US$ 8.9 billion by 2031 at a CAGR of 12.92%.
#Long-term Care Software Market#Long-term Care Software Market Size#Long-term Care Software Market Share
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The Role of AI and Cloud Computing in U.S. Long Term Care Software Market
The U.S. long term care software market size is expected to reach USD 2.95 billion by 2030, exhibiting a CAGR of 11.49% from 2023 to 2030, according to a new report by Grand View Research, Inc. Increasing geriatric population and the growing prevalence of chronic diseases are propelling segment growth. With increasing life expectancy, the healthcare demand of the population is increasing. Long-term care software is widely used to track health data for patients. They are used by LTC facilities such as nursing homes, home healthcare agencies, and senior living facilities for patient assessment, care notes, workflow management, billing, insurance, staff management, and other purposes.
Increasing government efforts to boost software adoption in the healthcare system is likely to augment market growth.The market is influenced by various government programs & initiatives that aim to improve the healthcare infrastructure and provide affordable care solutions to the elderly. For instance, Medicare and Medicaid reimburse long-term care services, boosting the demand for long-term care software. Moreover, implementing the Patient Protection and Affordable Care Act (PPACA) has increased access to health insurance and preventive care for millions of Americans, which is expected to support market growth.
Various strategic initiatives, such as collaborations, mergers, acquisitions, and new start-up funding are favoring the market growth. For instance, in June 2022, August Health raised USD 15 million in Series A funding led by General Catalyst and Matrix Partners. The company is developing a SaaS system for senior living facilities. In October 2022, Sentrics announced the acquisition of Connected Living, a U.S.-based senior living facilities resident engagement platform.
The COVID-19 pandemic severely impacted the LTC centers. As the elderly population was more susceptible to infections, the pressure on SNFs, assisted living facilities, and hospices increased. Nursing homes in the U.S. reported high number of COVID infections among older people. Hence, in order to reduce human interactions, many of these facilities implemented software solutions for managing clinical and administrative functions. This led to high adoption of LTC EHR software.
U.S. Long Term Care Software Market Report Highlights
The cloud-based mode of delivery segment accounted for the largest revenue share of 41.06% in 2022, owing to its cost-effectiveness and high adoption rate in hospitals
On the basis of application, the EHR segment accounted for the largest market share in the year 2022. The segment is further expected to experience the fastest growth over the forecast period. The growth of this segment is attributed to the increased government initiatives for the implementation of EHR in healthcare facilities
The electronic medication administration record (eMAR) segment is expected to witness a significant growth rate during the forecast period owing to the increasing need for solutions for medication management and adherence
Based on the end-use, the nursing home segment dominated the market in 2022. On the other hand, the home healthcare agencies segment is expected to have a significant growth rate during the forecast period
The home healthcare agencies segment is anticipated to exhibit the highest CAGR during the forecast period. This growth can be attributed to the growing preference for receiving care at home among the elderly population and the increasing availability of remote monitoring solutions that facilitate independent living
U.S. Long Term Care Software Market Segmentation
Grand View Research has segmented the U.S. long term care software market based on mode of delivery, application, and end-use:
U.S. Long Term Care Software Mode of Delivery Outlook (Revenue, USD Million, 2018 - 2030)
Cloud-based
Web-based
On-premises
U.S. Long Term Care Software Application Outlook (Revenue, USD Million, 2018 - 2030)
Electronic Health Records
Electronic Medication Administration Record (eMAR)
Revenue Cycle Management
Resident Care
Staff Management
Others
U.S. Long Term Care Software End-use Outlook (Revenue, USD Million, 2018 - 2030)
Home Healthcare Agencies
Hospice & Palliative Care
Nursing Homes
Assisted Living Facilities
Key Players in the U.S. Long Term Care Software Market
Veradigm LLC (Allscripts Healthcare)
Cerner Corporation (Oracle Corporation)
Netsmart Technologies, Inc.
MatrixCare
Yardi Systems, Inc.
VITALS SOFTWARE
PointClickCare
Medtelligent, Inc.
AL Advantage, LLC
Genexod Technologies LLC
Revver, Inc.
Order a free sample PDF of the U.S. Long Term Care Software Market Intelligence Study, published by Grand View Research.
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Long Term Post-Acute Care Software Market Quantitative and Qualitative Analysis | Industry Challenges and Forecast till 2036
The report on Long Term Post-Acute Care Software Market, encapsulates an in-depth analysis of the vast space of the business sphere. The report features a summary of the industry that includes a snapshot of the business ecosystem, as well as the summary of the market segmentation. The report is also inclusive of the company profiles, not to mention, the product details, production capabilities, the valuation held, and trends. In the light of the prominent competitors in the market, the report encompasses at a minimum, a brief analysis of the competitive dashboard of the leading players, with emphasis on the presence of the various service providers, the diverse product range of manufacturer offerings, as well as the end-to-end production capabilities.

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Market Segmentation
Segment 1: By Product
Description of characteristics and demographics of this segment.
Explanation of why this segment is important in the long term post-acute care software market.
Segment 2: Application
Description of characteristics and demographics of this segment.
Explanation of why this segment is important in the long term post-acute care software market.
Segment 3: Software Type
Description of characteristics and demographics of this segment.
Explanation of why this segment is important in the long term post-acute care software market.
Regional Analysis
North America
Market Trend: The long term post-acute care software market in North America is experiencing steady growth, driven by the increasing demand for long term post-acute care software market products and services.
Market Opportunity: There is a significant opportunity for long term post-acute care software market companies to expand their presence in North America by targeting specific industries and regions.
Europe
Market Trend: The long term post-acute care software market in Europe is highly competitive, with a focus on innovation and technological advancements.
Market Opportunity: European countries offer a strong customer base and a supportive business environment for long term post-acute care software market companies to thrive.
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Asia-Pacific
Market Trend: The long term post-acute care software market in Asia-Pacific is experiencing rapid growth, fueled by the increasing adoption of long term post-acute care software market products and services in emerging economies.
Market Opportunity: Asia-Pacific presents a vast market opportunity for long term post-acute care software market companies, particularly in countries like China and India.
Latin America
Market Trend: The long term post-acute care software market in Latin America is growing steadily, driven by the rising disposable income and changing consumer preferences.
Market Opportunity: Latin American countries offer untapped potential for long term post-acute care software market companies to expand their market presence and cater to the evolving needs of the population.
In a nutshell, the Long Term Post-Acute Care Software Market analysis report is an inherent collection of the market definitions, industry insights, and the overall scope of the report. Information about the numerous industry pitfalls and challenges, in addition to driving parameters influencing the revenue scale of this business, have also been provided in the report.
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Epic Systems, a lethal health record monopolist
Epic Systems makes the dominant electronic health record (EHR) system in America; if you're a doctor, chances are you are required to use it, and for every hour a doctor spends with a patient, they have to spend two hours doing clinically useless bureaucratic data-entry on an Epic EHR.
How could a product so manifestly unfit for purpose be the absolute market leader? Simple: as Robert Kuttner describes in an excellent feature in The American Prospect, Epic may be a clinical disaster, but it's a profit-generating miracle:
https://prospect.org/health/2024-10-01-epic-dystopia/
At the core of Epic's value proposition is "upcoding," a form of billing fraud that is beloved of hospital administrators, including the "nonprofit" hospitals that generate vast fortunes that are somehow not characterized as profits. Here's a particularly egregious form of upcoding: back in 2020, the Poudre Valley Hospital in Ft Collins, CO locked all its doors except the ER entrance. Every patient entering the hospital, including those receiving absolutely routine care, was therefore processed as an "emergency."
In April 2020, Caitlin Wells Salerno – a pregnant biologist – drove to Poudre Valley with normal labor pains. She walked herself up to obstetrics, declining the offer of a wheelchair, stopping only to snap a cheeky selfie. Nevertheless, the hospital recorded her normal, uncomplicated birth as a Level 5 emergency – comparable to a major heart-attack – and whacked her with a $2755 bill for emergency care:
https://pluralistic.net/2021/10/27/crossing-a-line/#zero-fucks-given
Upcoding has its origins in the Reagan revolution, when the market-worshipping cultists he'd put in charge of health care created the "Prospective Payment System," which paid a lump sum for care. The idea was to incentivize hospitals to provide efficient care, since they could keep the difference between whatever they spent getting you better and the set PPS amount that Medicare would reimburse them. Hospitals responded by inventing upcoding: a patient with controlled, long-term coronary disease who showed up with a broken leg would get coded for the coronary condition and the cast, and the hospital would pocket both lump sums:
https://pluralistic.net/2024/06/13/a-punch-in-the-guts/#hayek-pilled
The reason hospital administrators love Epic, and pay gigantic sums for systemwide software licenses, is directly connected to the two hours that doctors spent filling in Epic forms for every hour they spend treating patients. Epic collects all that extra information in order to identify potential sources of plausible upcodes, which allows hospitals to bill patients, insurers, and Medicare through the nose for routine care. Epic can automatically recode "diabetes with no complications" from a Hierarchical Condition Category code 19 (worth $894.40) as "diabetes with kidney failure," code 18 and 136, which gooses the reimbursement to $1273.60.
Epic snitches on doctors to their bosses, giving them a dashboard to track doctors' compliance with upcoding suggestions. One of Kuttner's doctor sources says her supervisor contacts her with questions like, "That appointment was a 2. Don’t you think it might be a 3?"
Robert Kuttner is the perfect journalist to unravel the Epic scam. As a journalist who wrote for The New England Journal of Medicine, he's got an insider's knowledge of the health industry, and plenty of sources among health professionals. As he tells it, Epic is a cultlike, insular company that employs 12.500 people in its hometown of Verona, WI.
The EHR industry's origins start with a GW Bush-era law called the HITECH Act, which was later folded into Obama's Recovery Act in 2009. Obama provided $27b to hospitals that installed EHR systems. These systems had to more than track patient outcomes – they also provided the data for pay-for-performance incentives. EHRs were already trying to do something very complicated – track health outcomes – but now they were also meant to underpin a cockamamie "incentives" program that was supposed to provide a carrot to the health industry so it would stop killing people and ripping off Medicare. EHRs devolved into obscenely complex spaghetti systems that doctors and nurses loathed on sight.
But there was one group that loved EHRs: hospital administrators and the private companies offering Medicare Advantage plans (which also benefited from upcoding patients in order to soak Uncle Sucker):
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649706/
The spread of EHRs neatly tracks with a spike in upcharging: "from 2014 through 2019, the number of hospital stays billed at the highest severity level increased almost 20 percent…the number of stays billed at each of the other severity levels decreased":
https://oig.hhs.gov/oei/reports/OEI-02-18-00380.pdf
The purpose of a system is what it does. Epic's industry-dominating EHR is great at price-gouging, but it sucks as a clinical tool – it takes 18 keystrokes just to enter a prescription:
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2729481
Doctors need to see patients, but their bosses demand that they satisfy Epic's endless red tape. Doctors now routinely stay late after work and show up hours early, just to do paperwork. It's not enough. According to another one of Kuttner's sources, doctors routinely copy-and-paste earlier entries into the current one, a practice that generates rampant errors. Some just make up random numbers to fulfill Epic's nonsensical requirements: the same source told Kuttner that when prompted to enter a pain score for his TB patients, he just enters "zero."
Don't worry, Epic has a solution: AI. They've rolled out an "ambient listening" tool that attempts to transcribe everything the doctor and patient say during an exam and then bash it into a visit report. Not only is this prone to the customary mistakes that make AI unsuited to high-stakes, error-sensitive applications, it also represents a profound misunderstanding of the purpose of clinical notes.
The very exercise of organizing your thoughts and reflections about an event – such as a medical exam – into a coherent report makes you apply rigor and perspective to events that otherwise arrive as a series of fleeting impressions and reactions. That's why blogging is such an effective practice:
https://pluralistic.net/2021/05/09/the-memex-method/
The answer to doctors not having time to reflect and organize good notes is to give them more time – not more AI. As another doctor told Kuttner: "Ambient listening is a solution to a self-created problem of requiring too much data entry by clinicians."
EHRs are one of those especially hellish public-private partnerships. Health care doctrine from Reagan to Obama insisted that the system just needed to be exposed to market forces and incentives. EHRs are designed to allow hospitals to win as many of these incentives as possible. Epic's clinical care modules do this by bombarding doctors with low-quality diagnostic suggestions with "little to do with a patient’s actual condition and risks," leading to "alert fatigue," so doctors miss the important alerts in the storm of nonsense elbow-jostling:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5058605/
Clinicians who actually want to improve the quality of care in their facilities end up recording data manually and keying it into spreadsheets, because they can't get Epic to give them the data they need. Meanwhile, an army of high-priced consultants stand ready to give clinicians advise on getting Epic to do what they need, but can't seem to deliver.
Ironically, one of the benefits that Epic touts is its interoperability: hospitals that buy Epic systems can interconnect those with other Epic systems, and there's a large ecosystem of aftermarket add-ons that work with Epic. But Epic is a product, not a protocol, so its much-touted interop exists entirely on its terms, and at its sufferance. If Epic chooses, a doctor using its products can send files to a doctor using a rival product. But Epic can also veto that activity – and its veto extends to deciding whether a hospital can export their patient records to a competing service and get off Epic altogether.
One major selling point for Epic is its capacity to export "anonymized" data for medical research. Very large patient data-sets like Epic's are reasonably believed to contain many potential medical insights, so medical researchers are very excited at the prospect of interrogating that data.
But Epic's approach – anonymizing files containing the most sensitive information imaginable, about millions of people, and then releasing them to third parties – is a nightmare. "De-identified" data-sets are notoriously vulnerable to "re-identification" and the threat of re-identification only increases every time there's another release or breach, which can used to reveal the identities of people in anonymized records. For example, if you have a database of all the prescribing at a given hospital – a numeric identifier representing the patient, and the time and date when they saw a doctor and got a scrip. At any time in the future, a big location-data breach – say, from Uber or a transit system – can show you which people went back and forth to the hospital at the times that line up with those doctor's appointments, unmasking the person who got abortion meds, cancer meds, psychiatric meds or other sensitive prescriptions.
The fact that anonymized data can – will! – be re-identified doesn't mean we have to give up on the prospect of gleaning insight from medical records. In the UK, the eminent doctor Ben Goldacre and colleagues built an incredible effective, privacy-preserving "trusted research environment" (TRE) to operate on millions of NHS records across a decentralized system of hospitals and trusts without ever moving the data off their own servers:
https://pluralistic.net/2024/03/08/the-fire-of-orodruin/#are-we-the-baddies
The TRE is an open source, transparent server that accepts complex research questions in the form of database queries. These queries are posted to a public server for peer-review and revision, and when they're ready, the TRE sends them to each of the databases where the records are held. Those databases transmit responses to the TRE, which then publishes them. This has been unimaginably successful: the prototype of the TRE launched during the lockdown generated sixty papers in Nature in a matter of months.
Monopolies are inefficient, and Epic's outmoded and dangerous approach to research, along with the roadblocks it puts in the way of clinical excellence, epitomizes the problems with monopoly. America's health care industry is a dumpster fire from top to bottom – from Medicare Advantage to hospital cartels – and allowing Epic to dominate the EHR market has somehow, incredibly, made that system even worse.
Naturally, Kuttner finishes out his article with some antitrust analysis, sketching out how the Sherman Act could be brought to bear on Epic. Something has to be done. Epic's software is one of the many reasons that MDs are leaving the medical profession in droves.
Epic epitomizes the long-standing class war between doctors who want to take care of their patients and hospital executives who want to make a buck off of those patients.
Tor Books as just published two new, free LITTLE BROTHER stories: VIGILANT, about creepy surveillance in distance education; and SPILL, about oil pipelines and indigenous landback.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
https://pluralistic.net/2024/10/02/upcoded-to-death/#thanks-obama
Image: Flying Logos (modified) https://commons.wikimedia.org/wiki/File:Over_$1,000,000_dollars_in_USD_$100_bill_stacks.png
CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/deed.en
#pluralistic#ehrs#robert kuttner#tres#trusted research environments#ben goldacre#epic#epic systems#interoperability#privacy#reidentification#deidentification#thanks obama#upcoding#Hierarchical Condition Category#medicare#medicaid#ai#American Recovery and Reinvestment Act#HITECH act#medicare advantage#ambient listening#alert fatigue#monopoly#antitrust
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A summary of the Chinese AI situation, for the uninitiated.

These are scores on different tests that are designed to see how accurate a Large Language Model is in different areas of knowledge. As you know, OpenAI is partners with Microsoft, so these are the scores for ChatGPT and Copilot. DeepSeek is the Chinese model that got released a week ago. The rest are open source models, which means everyone is free to use them as they please, including the average Tumblr user. You can run them from the servers of the companies that made them for a subscription, or you can download them to install locally on your own computer. However, the computer requirements so far are so high that only a few people currently have the machines at home required to run it.
Yes, this is why AI uses so much electricity. As with any technology, the early models are highly inefficient. Think how a Ford T needed a long chimney to get rid of a ton of black smoke, which was unused petrol. Over the next hundred years combustion engines have become much more efficient, but they still waste a lot of energy, which is why we need to move towards renewable electricity and sustainable battery technology. But that's a topic for another day.
As you can see from the scores, are around the same accuracy. These tests are in constant evolution as well: as soon as they start becoming obsolete, new ones are released to adjust for a more complicated benchmark. The new models are trained using different machine learning techniques, and in theory, the goal is to make them faster and more efficient so they can operate with less power, much like modern cars use way less energy and produce far less pollution than the Ford T.
However, computing power requirements kept scaling up, so you're either tied to the subscription or forced to pay for a latest gen PC, which is why NVIDIA, AMD, Intel and all the other chip companies were investing hard on much more powerful GPUs and NPUs. For now all we need to know about those is that they're expensive, use a lot of electricity, and are required to operate the bots at superhuman speed (literally, all those clickbait posts about how AI was secretly 150 Indian men in a trenchcoat were nonsense).
Because the chip companies have been working hard on making big, bulky, powerful chips with massive fans that are up to the task, their stock value was skyrocketing, and because of that, everyone started to use AI as a marketing trend. See, marketing people are not smart, and they don't understand computers. Furthermore, marketing people think you're stupid, and because of their biased frame of reference, they think you're two snores short of brain-dead. The entire point of their existence is to turn tall tales into capital. So they don't know or care about what AI is or what it's useful for. They just saw Number Go Up for the AI companies and decided "AI is a magic cow we can milk forever". Sometimes it's not even AI, they just use old software and rebrand it, much like convection ovens became air fryers.
Well, now we're up to date. So what did DepSeek release that did a 9/11 on NVIDIA stock prices and popped the AI bubble?

Oh, I would not want to be an OpenAI investor right now either. A token is basically one Unicode character (it's more complicated than that but you can google that on your own time). That cost means you could input the entire works of Stephen King for under a dollar. Yes, including electricity costs. DeepSeek has jumped from a Ford T to a Subaru in terms of pollution and water use.
The issue here is not only input cost, though; all that data needs to be available live, in the RAM; this is why you need powerful, expensive chips in order to-

Holy shit.
I'm not going to detail all the numbers but I'm going to focus on the chip required: an RTX 3090. This is a gaming GPU that came out as the top of the line, the stuff South Korean LoL players buy…
Or they did, in September 2020. We're currently two generations ahead, on the RTX 5090.
What this is telling all those people who just sold their high-end gaming rig to be able to afford a machine that can run the latest ChatGPT locally, is that the person who bought it from them can run something basically just as powerful on their old one.
Which means that all those GPUs and NPUs that are being made, and all those deals Microsoft signed to have control of the AI market, have just lost a lot of their pulling power.
Well, I mean, the ChatGPT subscription is 20 bucks a month, surely the Chinese are charging a fortune for-

Oh. So it's free for everyone and you can use it or modify it however you want, no subscription, no unpayable electric bill, no handing Microsoft all of your private data, you can just run it on a relatively inexpensive PC. You could probably even run it on a phone in a couple years.
Oh, if only China had massive phone manufacturers that have a foot in the market everywhere except the US because the president had a tantrum eight years ago.
So… yeah, China just destabilised the global economy with a torrent file.
#valid ai criticism#ai#llms#DeepSeek#ai bubble#ChatGPT#google gemini#claude ai#this is gonna be the dotcom bubble again#hope you don't have stock on anything tech related#computer literacy#tech literacy
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There is nothing wrong with a person who wears adult diapers. Those are an aid, a tool, to help that person be more mobile and preserve their dignity.
If someone has tremors in their hands and needs help picking up everyday objects, that doesn't take away from who they are as a person. There's no dishonor in muscular tremors.
If someone can't see or hear, or can only see or hear with aid of a tool, a piece of technology, that's fine! Here's a really simple one: so many of us wear glasses because our eyes can't do the thing on their own.
Having disabilities doesn't take away from who a person is. Mocking someone for needing aid to do things, however, is morally repugnant. And using ableism to put down or mock someone who themselves is morally reprehensible is still never ok.
It is important for all of us to re-examine how we, too, perform ableist acts in our daily lives. Here are some simple ones:
Stop using ableist words (check out this page: https://www.autistichoya.com/p/ableist-words-and-terms-to-avoid.html).
Stop calling disabled people "inspirational" and using them as a way to say "if they can do it then so can you" (see: paralympic commentaries from the same people who still support organizations like Autism Speaks -- https://www.themarysue.com/the-autism-speaks-controversy-explained/).
Stop mocking people for not being able to move the way you think they should move.
Stop calling bigots "crazy" (their bigotry isn't a mental illness).
Stop saying that "only disabled and immuno-compromised people are at risk from COVID-19" when what is unsaid after that is "so that's why I don't need to care about it or take any precautions."
Stop calling someone "blind" or "deaf" when they're being ignorant.
Stop making fun of someone for taking an elevator or using a motorized scooter at the store.
Eliminate the stigma of disabled people asking for accessibility by making things accessible in the first place.
When you're in a position to design things, physical or otherwise (buildings, software, apps), think about accessibility.
Actively learn from disability activists, what things are actually helpful and actually accessible. Incorporate those things into your design.
Hire and elevate to positions of leadership people with disabilities (and if your gut response is "but we hire by merit," I challenge you: are you telling me you don't think disabled folks can perform the duties of leaders in your organization? What are you saying, exactly?).
Change your organization to be supportive to disabled employees, and get rid of policies that marginalize them.
There's a whole LOT of ableism weaved in to literally everything. Even if we don't get it all in one go (and we won't), it's important to put in the work to do better.
--
Before someone comments with these:
"what's wrong with people?"
Ableism is EVERYWHERE, it is in EVERYTHING in this world and we have to actively work against it. Don't assume you're exempt. None of us are.
"who says these things?" "who does these things?"
A lot of people. A lot of people you might love. A lot of people that might include us (likely, actually). These mostly aren't monsters in alleyways saying and doing ableist things.
It's the nurse getting annoyed at the person using a wheelchair for having their wheelchair there. It's the dude at the gym who tells his friend that if those paralympians can do it, they definitely can do it. It's the person who keeps telling their friend with long covid to just do more yoga. It's the liberal angry at Trump who mocks him by saying he wears adult diapers. It's the person who builds a business branded and marketed on being kumbaya "we're so progressive" but they made their doors so heavy that they're hard for anyone to open and definitely impossible to open for a wheelchair user. It's the boomer telling a young person using a disabled parking spot that young people can't be disabled. It is literally everywhere. It's that guy telling disabled people they shouldn't be out past sunset ("we're disabled, Daniel, we're not werewolves."--Jen L Rossman).
--
Reading list, obviously not exhaustive:
https://thebodyisnotanapology.com/magazine/14-black-disabled-women-reminding-us-of-our-power/
https://thedailytexan.com/2018/03/23/stop-using-ableist-language-and-call-out-others-who-use-it
https://www.autistichoya.com/p/ableist-words-and-terms-to-avoid.html
https://www.tolerance.org/magazine/no-joking-matter-words-and-disability
https://diaryofadisabledperson.blog/
https://www.thegauntlet.news/p/disabled-peoples-exclusion-from-indoor
https://www.mirror.co.uk/news/uk-news/being-grabbed-pushed-touched-without-27376323
https://www.sociability.app/blog/the-medical-vs-social-model-of-disability
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Media Production in a Solarpunk Future Better World
Next week I am going to talk once more about stuff outside of Solarpunk, but let me end this a bit with some more utopianism about a topic I care about a lot as some of you know. Media production. No matter the type of media. Books, movies, shows, animated, live action, audio plays, music, games.
I wish it was not news when I told people, that media production has been in trouble for a long time. People who follow one industry or another might know - but yeah. Issues are the same for the most part.
To make it short: No matter what type of media you make, you are constantly competing with a lot of other folks not just for budget, but also for the ability to publish it. Sure, some stuff can be published independently easier, but even then it is often an issue to monetize it. You can totally publish movies and shows on Youtube, yeah, but monetizing it properly is hard at times. Same goes with audio stuff. Yeah, you can put music and podcasts on a lot of platforms like Spotify - but good luck to see a dime from it. Also, if you publish it yourself, you do need to do the marketing yourself, making you very depedent on the algorithm liking you.
Sure, there is some stuff that is a bit easier to do independently. Getting a book out is fairly easy - but that makes the market also overrun with slob and makes it hard to stand out in terms of marketing. And if you are doing games... Well, Steam makes it fairly easy by now to publish indie games and monetize them, but again: Marketing is fucking hard.
And that is without getting to the other problem: You need a budget to begin with. Like, sure, this is somewhat easier with books or if you are an artist yourself comics. It will eat up your free time, but a lot of folks have written books in their free time, as most people who publish books and comics never get rich with it. Yeah, most of us writers and also the comic book artists will burn out on it, but... it is possible to do.
However, you cannot do a movie on your own. You cannot do a series on your own. No matter if it is animated or live action. You will at least need a couple of actors and a couple of people to do the technical stuff. You also need sets for life action, and licenses for animation software for animation and so on and so forth.
And yeah, sure, you can make an indie game with a fairly small team and some even managed to make games on their lonesome, but... it is hard, you might well burn out, and also: Either you have some money to do it full-time, or it will probably take you ages.
Which basically is why Kickstarter exists.
This is not just a curse that afflicts small creators - even though those tend to be affected a whole lot more - but even bigger names in each industry. Especially these days.
See, when it comes to especially movie and tv production, the tendency has been more and more to make either super cheap stuff (like game shows and such) or super expensive stuff (blockbuster) with fairly few things falling in between. Basically it tends to eb: "Go big, or go home."
And as anyone who is obsessing about any piece of media: No matter how much budget there theoretically is, there is crunch. Meaning: At some point in the production people are working 14+ hours a day seven days a week. Often towards the end of the production, when the deadline is around the corner and stuff needs to be finished, because whoever gives the money, wants to put out the finished product.
Sure, if you are indie, you technically do not have deadlines of others to meet, but chances are, that at some point there will be crunch to finish a project.
And, oh boy, once your thing gets released, it will just get even more chaotic, because we are living in an online world, where anything can happen.
Now, let me get this straight: Yes, there are people who are making media with bad intentions (just look at those Daily Wire freaks). But most of the people tend to make their media with innocent enough intentions.
Does not matter. Chances exist always that someone will feel attacked by it. Oh, you have a Black main character? Great, now the right wingers will spend hours upon hours crying about it. You have a gay character who is not nice? Well, now some radical queers will complain about it how it is bad representation (does not matter that you are gay yourself and it is kinda autobiographic). You have made an adaption? Great, someone will complain it is not close enough to whatever source material it is - not understanding that you cannot translate a piece of media into another medium without changing stuff. And so on and so forth.
Of course, some things can be viable critcisms. But in these days, chances are that you will get insulted on social media, if not hounded by death threats.
Unless of course there are people who really love your stuff, in which case you will likely experience another sort of harassment. Especially if you are an actor or a musician or someone else who puts their face out there.
I hope I do not need to continue this.
And here is the thing: Humans are evolved monkey, who mainly involved to sit around and tell stories and do art. I am not even exaggerating here. From all we know our brains did in fact evolve to do that, which is why so many people do dream of doing something in the creative industries. It is literally there in our genes.
Why did we evolve that? I don't fucking know. I guess telling stories somehow gave us an evolutionary advantage.
So, basically for the most part humanity right now can be seperated into three groups. The people who actually do not want to be creative. The people who want to be but do not get the chance and are miserable because of it. And the people who did get the chance, and are likely burning themselves out, as they do. Hooray. This is working great.
Oh, by the way, even if what you do gets somehow super successful... If you are not indie, someone else will snatch most of the money your thing did away from you. Sorry.
However, here is some facts:
We absolutely do have the technology for most things that are needed to keep society running to be at least partially automated. A lot of jobs that are right now getting paid are Bullshit Jobs, that just exist to exhaust people.
We also could absolutely build a system in which everyone was taken care off in terms of basic needs (housing, education, food, medicine) without needing to work. Again, we are already there.
Not every movie or game or whatever needs to be high budget with amazing graphics and special effects. Yes, some people will glaim this, but in the end, storytelling is a lot more important I would argue.
We absolutely could take away the control from the people who right now create artificial bottlenecks in regards to what does and does not get released.
Same goes for stuff like shelf-space and concert halls, that often by now gets to be dictated by a few companies. This does not need to be that way.
Also, we could greatly overhaul the copyright system, putting copyright down from up to 100 years as it is right now, to like 5 to 10 years.
If everyone's basic needs were taken care of, people could just take some time of to do their creative projects without having to burn themselves out doing basically two jobs, one of which might in fact be a bullshit job.
If we produced cheaper media, a lot mroe people would get to do it - and the conditions for it would largely improve. After all, it is the fact that a lot of stuff costs hundreds of millions that make the investors now push for specific dates. (Well, also the fact that investors tend to be shitty people, but that's a topic for another day.) It could help to reduce crunch at the very least.
If we removed the endlessness of copyright, media power would be less concentrated in a couple of companies - who mainly hold that power because of the IP they own. If the IP becomes public domain after 10 years, everyone could do fun stuff with it. And if you are opposed to this, remember: It is highly unlikely to become a millionaire with a piece of media - especially more than 10 years after the initial release. Either it takes of fairly quickly or barely at all. If it takes of initially, wonderful, you can make the money during those first few years. If it doesn't: Well it is not as if you are loosing out of much. Right now the endless copyright mostly profits big companies like Disney, Warner and so on.
Also, if movies and such were smaller, there simply would be a lot less incentive to create an outcry, because there would be more of it.
Right now (especially post-pandemic, which has harmed the media industry a lot) we get maybe 10-15 blockbuster movies a year, a handful of blockbuster TV seasons, and probably around 6-12 AAA gaming titles. So, whenever one of those comes out, the internet will talk about these, because advertisement will give you FOMO if you do not talk about it. Which obviously inspires folks to have a lot stronger opinions on everything. Which then creates the toxic online discourse. Sure, you might also get toxic online discourse over some indie stuff - because there is just indie stuff that will break containment for one reason or another. But mainly it will be stuff with a lot of money behind it. Only that of course, while officially everyone is angry then at Disney or Ubisoft or whatever, they will usually then harass the actors or some other person who was in the main creative team. (Just remember how much people bullied the Korean actress in The Last Jedi. Like, not to mention that I loved that movie, but even if you hated it and if you hated her role, it was not her fault that role existed and was written like that. Same goes for example for the guy who played Jar Jar Binks back in the day, who was nearly driven to suicide for playing a character in movie.)
Having smaller budgets also would kinda stop making some people into those big stars, who then get the whole celebrity treatment which almost certainly will be a horror for anyone's mental health - no matter in which direction it goes.
I love media. I love storytelling. I love art. But right now there is just so much going wrong, which in turn leads to heaps and heaps of abuse of workers in any of the respective industry. And I think that does not have to be that way.
Most people I know who do creative work for a living love their jobs. But they also tend to struggle a lot with some aspects of it.
I personally got the chance to visit a mid-budget Hollywood movie shoot when I was just two years out of high school, and while I wanted to do this until that point, it was a very, very crunchy shoot. People were crying. People were angry and exhausted. And I stood there: "Yeah, okay, if I ended up in this situation, I would absolutely break under the pressure." And decided to not further pursue any professional creative stuff outside of storywriting.
Still. We could so so much better.
#solarpunk#lunarpunk#utopia#media prodcution#movies#music industry#comics#animation#anime#game development#indie games#budgets#crunch#mental health#toxic fandom#social media#copyright
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Mike LaChance
Microsoft has fired two software engineers who objected to the Israeli military using the company’s artificial intelligence products. These engineers chose the company’s 50th anniversary event to voice their protests, so it’s probably safe to assume that played a role in the decision.
🚨BREAKING: Microsoft Fires Anti-Israel Engineers Who Disrupted Anniversary Party Microsoft terminated the jobs of the employees who protested at company events Friday over the Israeli military’s use of Microsoft’s AI. Ibtihal Aboussad and Vaniya Agrawal were terminated today. pic.twitter.com/DtM8yQ3ewJ — Shelley G (@ShelleyGldschmt) April 7, 2025
From CNBC:
Microsoft terminates jobs of engineers who protested use of AI products by Israel’s military Microsoft terminated the employment of two software engineers who protested at company events Friday over the Israeli military’s use of the company’s artificial intelligence products, according to documents viewed by CNBC. Ibtihal Aboussad, a software engineer in the company’s AI division who is based in Canada, was fired Monday over “just cause, wilful misconduct, disobedience or wilful neglect of duty,” according to one of the documents. Another Microsoft software engineer, Vaniya Agrawal, had said she would resign from the company on April 11. But Microsoft terminated her role Monday, according to an internal message viewed by CNBC. The company wrote that it “has decided to make your resignation immediately effective today.” Both employees chose Microsoft’s 50th anniversary event to publicly voice their criticism.
What Microsoft had hoped would be a celebratory period has turned into a brutal few days for the company, which is being hit, along with the rest of the market, by President Donald Trump’s widespread tariffs.
More from the Associated Press:
The protests began Friday when Microsoft software engineer Ibtihal Aboussad walked up to a stage where an executive was announcing new product features and a long-term vision for Microsoft’s AI ambitions. “You claim that you care about using AI for good but Microsoft sells AI weapons to the Israeli military,” Aboussad shouted at Microsoft AI CEO Mustafa Suleyman. “Fifty-thousand people have died and Microsoft powers this genocide in our region.” The protest forced Suleyman to pause his talk, which was livestreamed from Microsoft’s campus in Redmond, Washington. Among the participants at the 50th anniversary of Microsoft’s founding were co-founder Bill Gates and former CEO Steve Ballmer.
Listen to the audience groan as Agrawal begins her protest.
This is Vaniya Agrawal, the software engineer who disrupted Microsoft's 50th anniversary celebrations at its headquarters. She attacked Satya Nadella, Steve Ballmer and Bill Gates for investing in Israel: "Shame on you all. You’re all hypocrites. 50,000 Palestinians in Gaza have… pic.twitter.com/TNgYt5uJB8 — Rakesh Krishnan Simha (@ByRakeshSimha) April 8, 2025
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Revolutionizing Long-Term Care Software Market: Comprehensive Analysis and Growth Forecast Amidst Dynamic Industry Trends
The long-term care software market is expected to reach a significant value of US$3,877 million globally in 2022 and is expected to develop at a spectacular rate. Even more optimistic projections are made for 2032, when a valuation of over US$ 10,988 million is expected, indicating an outstanding CAGR of 11% over the course of the projected period (2022–2032). This increase is a sign of a paradigm shift in the administration of healthcare, as organisations use more advanced software to improve the effectiveness and quality of long-term care services.
The global government measures aimed at curbing the rising costs of healthcare are driving the long-term care software market’s rise.
To Get Sample Copy of Report Visit: https://www.futuremarketinsights.com/reports/sample/rep-gb-6184
Multiple applications of long-term care software such as the long-term care software analyze millions of data records and quickly spot potential issues before they become problems, and it enables mental health providers to manage remote patient video conferencing, scheduling, and messaging are playing a crucial role in the rapid adoption of long-term care software.
Global Long-term Care Software Market: Drivers and Challenges
Drivers
The digitalization in healthcare technology is the primary factor which is driving the growth of long-term care software market. Also, changing healthcare infrastructure, shortage of medical staff and adoption of technological solutions in the healthcare institutions is the key growth driver of the long-term care software market.
Moreover, limited healthcare specialists and different initiatives taken by the government bodies worldwide to reduce the medical cost are fueling the growth of long-term care software market.
Apart from this, the increase in the number of healthcare organizations and the increasing usage of mobile devices in the healthcare organizations are the major factors which are fueling the growth of the long-term care software market.
Challenges
The high cost of software maintenance is the primary factor which may hinder the growth of the long-term care software market in the near future. Also, the unwillingness of the traditional long-term care providers to adopt new software is one of the major factors which hampers the growth of the long-term care software market in the near future.
Ask an Analyst: https://www.futuremarketinsights.com/ask-the-analyst/rep-gb-6184
Key Players
The prominent players in long-term care software market are: Allscripts Healthcare Solutions, Inc., Cerner Solutions, Omnicare, Inc., Omnicell, Inc., HealthMEDX, LLC, McKesson Corporation, Optimus EMR, Inc., PointClickCare, MatrixCare, and SigmaCare.
Global Long-term Care Software Market: Regional Overview
On the geographic basis, North America is anticipated to capture largest market share, owing to the well developed and established healthcare industry, and higher adoption of long-term care software in the region.
Europe and APAC are also expected to gain substantial market share due to the rapid infrastructural development in the healthcare sector. Also, APAC is expected to be the fastest growing long-term care software market owing to the government initiatives taken in the healthcare sector by the emerging economies such as India, China, and Japan.
The Long-term Care Software market in Latin America and MEA are expected to witness high growth rates in the coming period due to the rise in digital technologies and increasing adoption of mobile devices in the healthcare sector of the region.
The research report presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, and statistically supported and industry-validated market data.
It also contains projections using a suitable set of assumptions and methodologies. The research report provides analysis and information according to market segments such as geographies, application, and industry.
Request for Customization: https://www.futuremarketinsights.com/customization-available/rep-gb-6184
Key Segments
By Delivery Modes:
Cloud-based
On-premises
Web-based
By End User:
Assisted Living Facilities
Home Health Agencies
Nursing Homes
By Region:
North America
Latin America
Asia Pacific
Europe
MEA
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https://www.palscity.com/read-blog/304893_long-term-care-software-market-analysis-size-share-and-forecast-2031.html
The Long-term Care Software Market in 2023 is US$ 3.37 billion, and is expected to reach US$ 8.9 billion by 2031 at a CAGR of 12.92%.
#Long-term Care Software Market#Long-term Care Software Market Size#Long-term Care Software Market Share
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[Apple,Inc.] Leadership Styles
[Juaneishia]
What makes a leader strategic and innovative? There are components that allow a leader to take over the skills of being strategic and innovative. To have the inclination for long-term success, competitive advantage, problem-solving mindset, adaptability to change, and passion for impact, personal growth, etc. What makes a leader possess dysfunctional behavior? The ingredients are insecurity, ego, greed, inability to delegate, the list is endless but not satisfactory for the company or the employees. As we dive into the different leadership traits of the CEOs of Apple, we will learn the dos and don’ts of being a leader. You will be able to identify what type of leader you want to be for your business or personal growth based on the styles that were depicted by each CEO. Using strategies and innovation will cause challenges to arise; this is normal. “Strategic thinkers question the status quo. They challenge their own and others’ assumptions and encourage divergent points of view. Only after careful reflection and examination of a problem through many lenses do they take decisive action. This requires patience, courage, and an open mind. (Schoemaker, Krupp, Howland, 2013). Dysfunctional leadership is very unprofessional. “Unprofessional behavior can cause discomfort among team members, and it can undermine the leader’s credibility and authority.” (Blog).
Apple, Inc.
Founded in 1976 by Steve Jobs, Steve Wozniak, and Ronald Wayne as a partnership, Apple started in the garage of the Jobs family home. Apple would move over the next half century to become one of the largest and most successful tech companies in the world. The first product developed by Jobs and Wozniak was the Apple I computer and according to Wikipedia (2020) was “sold as a motherboard with CPU, RAM, and basic textual-video chips—a base kit concept which was not yet marketed as a complete personal computer.” In 1977, after creating the Apple I computer, Apple became an incorporated company in Cupertino, California. By the time apple had become an incorporation, Wayne had sold his shares back to Jobs and Wozniak. (Richardson, 2023).
After several product successes in 1977, including Apple II and MacIntosh computers, Apple faced trouble in the market. Wintel offered lower-priced PC clones that were operated on Intel software systems. Through this trouble, Apple was faced with bankruptcy. During the challenge of facing bankruptcy, Jobs repaired the failed operating system’s issues and developed new products including iPod, iMac, iPhone, and iPad allowing the company to perform a complete 360 by 1978. (2020).
Apple, after its start, went through a few short-term CEO’s. While the more prominent leaders remain to be Jobs, Wozniak, and Tim Cook, a collaborative modern-aged leader, it is important to acknowledge the role that others had played and how it affected the company and its vision. (2023).
Today, Apple has evolved to offer full-service technology in many varieties. Apple technology now includes headwear, watches, Augmented Reality (AR), streaming and subscription services, music, and more (2025). Apple has effectively adapted to the demand of the consumer through a technological revolution.
References
Schoemaker, P J. H. Krupp, S. Howland, S. (2013, January -February) Strategic Leadership: The Essential Skills. Harvard Business Review. https://hbr.org/2013/01/strategic-leadership-the-esssential-skills
Blog. The Top 5 Dysfunctional Behaviors That Leaders Should Avoid. Lolly Daskal. https://www.lollydaskal.com/leadership/the-top-5-dysfunctional-behaviors-that-leaders-should-avoid/
Wikipedia. (2024). Apple Inc. Wikipedia; Wikimedia Foundation. https://en.wikipedia.org/wiki/Apple_Inc.
Richardson, A. (2023). The founding of Apple Computer, Inc. Library of Congress. https://guides.loc.gov/this-month-in-business-history/april/apple-computer-founded
Muse, T. (2023, November 27). Apple’s CEO History. Www.historyoasis.com. https://www.historyoasis.com/post/apple-ceo-history
Apple. (2025). Apple. https://www.apple.com/
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Choosing the Right 3D Printer: A Comprehensive Guide

The world of 3D printing offers boundless creative possibilities, making it an exciting technology for makers, hobbyists, and professionals alike. However, with a wide array of 3D printers available on the market, selecting the right one can be a daunting task. This guide will help you navigate the important factors to consider when choosing a 3D printer that suits your needs so that you can get the right 3D printer.
How to Choose the Right 3D Printer
Define Your Purpose
The first step in choosing the right 3D printer is defining your purpose. What do you intend to create? Are you interested in artistic endeavors, functional prototypes, or educational projects? Understanding your specific use case will help narrow down your choices.
Budget Considerations
Your budget plays a significant role in determining the 3D printer that’s right for you. 3D printers vary widely in price, from budget-friendly options to high-end models. While affordability is essential, it’s also crucial to consider the long-term costs, including maintenance, filament, and accessories.
Determine the Types of 3D Printers
There are several types of 3D printers available, with the two most common being Fused Filament Fabrication (FFF) and Stereolithography (SLA).
– FFF Printers: These printers extrude filament (typically PLA or ABS) layer by layer to build objects. They are known for their affordability and ease of use, making them a great choice for beginners.
– SLA Printers: SLA printers use liquid resin cured by a UV laser to create highly detailed and precise objects. They are excellent for producing intricate designs but may be more challenging to operate.
Consider Build Volume
The term “build volume” pertains to the largest dimensions of items a 3D printer can produce. Take into account the size of your intended prints and verify that the printer’s build volume is sufficient for your requirements.
Choose Print Resolution
Print resolution determines the level of detail and quality of your 3D prints. It’s measured in microns, with lower values indicating higher resolution. If you require highly detailed and smooth prints, opt for a printer with a lower micron value.
Check Filament Compatibility
Different 3D printers are compatible with various filament types, such as PLA, ABS, PETG, or specialty materials like flexible filaments or metal-infused filaments. Ensure that the printer you choose supports the type of filament you intend to use.
Find Ease of Use
For beginners, a user-friendly 3d printer is crucial. Look for models that come pre-assembled or require minimal assembly and calibration. Intuitive software and a supportive online community can also make your 3D printing journey smoother.
Consider Printing Speed
Printing speed varies among 3D printers. Faster printers can complete prints more quickly, but they may sacrifice print quality. Consider your priorities—whether speed or print quality is more important for your projects.
Consider Connectivity and Software
Examine the connectivity options and software compatibility of the 3D printer. USB, SD card, or Wi-Fi connectivity can impact your workflow. Ensure that the printer works with slicing software compatible with your operating system.
Final Words
In conclusion, choosing the right 3D printer involves careful consideration of your specific requirements, budget, and skill level. It’s an investment that can open up a world of creative possibilities. By researching and weighing the factors mentioned in this guide, you can confidently select a 3D printer that aligns with your goals and sets you on an exciting 3D printing journey. Remember that the right 3D printer can be a versatile tool for turning your ideas into tangible creations.
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How to Sell Your Software Company: A Step-by-Step Guide

Selling your software company is a major milestone that requires careful planning and understanding of the process. Whether you're looking to exit the industry, retire, or pursue other ventures, knowing what to expect can help you navigate the sale smoothly and achieve a successful outcome. In this guide, we’ll answer the most common questions about selling a software company, providing clear insights to help you through each stage.
1. What are the key steps to prepare my software company for sale?
Before listing your company for sale, it’s crucial to get your business in the best shape possible to attract buyers. Key steps include:
Organizing Financial Records: Ensure your profit and loss statements, balance sheets, and tax returns are up to date and accurate. Buyers will want to see at least 3 years of clean financial records.
Evaluating Growth Potential: Highlight future opportunities for growth, such as new markets, product developments, or untapped revenue streams.
Securing Intellectual Property: Ensure that all software, patents, and trademarks are properly documented and legally protected.
Stabilizing the Business: Make sure the company is running smoothly, with a solid customer base, strong recurring revenue, and efficient operations.
By taking these steps, you’ll increase your company’s attractiveness to potential buyers and ensure a smoother sale process.
2. How do I determine the value of my software company?
Valuing a software company involves looking at several factors, including:
Revenue and Profit Margins: Buyers will focus on your annual revenue, profit margins, and how consistent your earnings are. Recurring revenue from subscription models or long-term contracts will be highly valued.
Customer Base: A large, loyal customer base with low churn rates adds value to the business.
Growth Potential: Buyers will assess the company’s potential for future growth, such as new product lines or expansion into new markets.
Intellectual Property: Software companies with proprietary technology, patents, or other unique intellectual property are generally more valuable.
It’s recommended to have a professional business valuation expert assess your company to ensure you get an accurate figure.
3. What types of buyers are interested in acquiring a software company?
There are typically three main types of buyers for software companies:
Strategic Buyers: These buyers are often larger companies looking to acquire your software to complement or enhance their existing offerings. They are likely to pay a premium if they see strong synergies.
Private Equity Firms: These firms look for software companies with stable earnings and growth potential. Their goal is to improve the company’s value and sell it for a higher price in the future.
Individual Investors: Entrepreneurs or investors who are looking to enter the software industry may be interested in smaller, profitable software companies.
Understanding the type of buyer you want to attract will help you tailor your marketing and sales strategy.
4. Where can I find potential buyers for my software company?
Finding the right buyer requires a mix of industry connections and professional assistance. Here are some ways to identify potential buyers:
Work with a Business Broker: Business brokers specialize in helping you find qualified buyers. They can also assist with negotiations and the overall sale process.
Leverage Industry Networks: Attend conferences, events, or join industry groups where you can connect with potential buyers who are already interested in the software space.
Use Online Business Marketplaces: Websites and platforms dedicated to business sales are a great way to reach a wider audience of potential buyers.
A business broker can be particularly helpful in ensuring that you find serious buyers and avoid wasting time on non-committed parties.
5. What legal and financial documents do I need to prepare before selling?
Before the sale process begins, you’ll need to organize several important documents:
Financial Statements: Ensure your profit and loss statements, balance sheets, and tax returns are well-prepared and accurate.
Intellectual Property Documentation: Make sure any patents, trademarks, and software licenses are in order and ready for transfer.
Contracts and Agreements: Review and prepare any contracts with customers, vendors, and employees to ensure they can be easily transferred to the new owner.
Non-Disclosure Agreements (NDA): Protect sensitive business information by having potential buyers sign an NDA before sharing detailed company data.
Being well-prepared will make the due diligence process faster and give potential buyers more confidence in the deal.
6. How long does it take to sell a software company?
The timeline for selling a software company can vary, but it generally takes 6 to 12 months. Here’s what the process typically involves:
Preparation Phase: This involves organizing financials, securing intellectual property, and making sure the business is operating smoothly. This phase can take several months.
Finding a Buyer: Depending on your approach and the market, it could take a few months to find the right buyer.
Due Diligence and Negotiation: Once a buyer is interested, the due diligence process can take several weeks or even months as they review your financials, legal documents, and business operations.
Being patient and prepared for each phase will help ensure a smooth sale.
7. How do I negotiate a fair deal when selling my software company?
Negotiating a fair deal requires both preparation and strategy. Here are some tips:
Set Your Bottom Line: Know the minimum price you are willing to accept before entering negotiations.
Highlight the Value: Make sure to emphasize the company’s growth potential, profitability, and strong customer base during negotiations.
Consider Earn-Out Agreements: An earn-out is a payment structure where part of the sale price depends on the future performance of the company. This can be beneficial if your company’s growth potential is strong.
It’s a good idea to work with a lawyer or broker during negotiations to ensure you get the best possible terms.
8. What happens after the sale of my software company?
After the sale, there’s often a transition period where you continue to work with the buyer to ensure a smooth handover. This might involve training the new owner, introducing them to key customers, or helping with daily operations. The transition period can last anywhere from a few months to a year, depending on the agreement.
Additionally, make sure to consult with a tax advisor to understand the tax implications of the sale and how to manage the proceeds from the sale effectively.
Selling a software company is a complex process that involves preparation, valuation, marketing, and negotiation. By understanding the key steps and having the right documentation and support in place, you can ensure a successful sale that meets your financial and personal goals. Whether you’re looking to sell now or just preparing for the future, the insights provided in this guide will help you navigate the process with confidence.
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UKeartraining.com is a leading provider of specialised training for individuals aspiring to become certified ear wax removal specialists across the United Kingdom. Our comprehensive, two-day UK Ear Care Training Course is designed to equip participants with the knowledge, skills, and certification required to practise ear wax removal professionally and confidently. Fully accredited by CPD, our course allows graduates to begin treating patients immediately, making it a recession-proof business opportunity suitable for those with or without prior medical training. Our course curriculum covers essential aspects of ear care, starting with an understanding of ear anatomy, common conditions and abnormalities, and the formation and function of ear wax. Participants are trained in modern ear wax removal methods, including the use of otoscopes for ear examinations, and specialised techniques such as water irrigation and microsuction, which are standard practices in leading ENT clinics. The training is hands-on, with practical sessions on the second day where participants practise these techniques under the expert guidance of our experienced trainers. Additionally, we emphasise the importance of patient care, teaching best practices for patient preparation, treatment, and aftercare, ensuring that participants can deliver exceptional service that fosters long-term patient relationships. Beyond the technical skills, UKeartraining.com also provides valuable insights into running a successful ear wax removal business. This includes training on software and technology to streamline operations, strategies for building and marketing a practice, and effective methods for finding and retaining patients. At UKeartraining.com, we are committed to providing an all-encompassing training experience that not only prepares participants to excel in ear wax removal but also equips them with the business acumen needed to thrive in the industry. Whether you're looking to start a new venture or expand your current practice, our training offers the tools and knowledge to succeed.
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