#SaaS-Based
LightNews LightNews
r0wdy.sk33t.expert
this is a senior sec eng role description lmao
What You'll Do Identity & Access Management (Primary Focus) . Manage and optimize Okta SSO deployment across 70+ SaaS applications . Implement and enforce role-based access controls (RBAC) and least privilege principles . Lead quarterly access reviews and user lifecycle management . Drive adoption of MFA and implement conditional access policies . Oversee endpoint management via Jamf and device compliance standards Security Governance & Compliance . Drive HIPAA and SOC 2 compliance maintenance through Vanta . Manage vendor risk assessment program and Business Associate Agreement (BAA) collection for 70+ vendors · Develop and maintain security policies, standards, and procedures . Support customer security assessments and RFP responses . Prepare for HITRUST certification and future IPO readiness requirements Security Awareness & Training . Design and deliver security awareness training . Create role-specific training programs (HIPAA, phishing, data handling, incident response) . Build and maintain security documentation and knowledge base . Develop metrics and reporting on training completion and effectiveness . Partner with HR on security onboarding and offboarding processes Security Operations & Monitoring . Implement and tune security monitoring and alerting systems . Manage security logging and audit trail requirements for HIPAA compliance . Conduct security assessments and risk analysis . Lead incident response coordination and post-incident reviews . Track and remediate security findings from audits and assessments Risk Management & Third-Party Security . Maintain risk register and coordinate risk treatment activities . Conduct vendor security assessments and ongoing monitoring . Support procurement reviews for security and compliance implicationa . Manage security aspects of contractor access and data handling
November 11, 2025 at 3:29 PM
halfrobot.com
I am assuming, based on incompetence/malice principle, that this is due to some ridiculous database lock from the SaaS. Or in other words they should have duplicated the AI-entered into to a human-editable “final” field and did not, a reprehensible bug
November 10, 2025 at 7:44 PM
siliconvikings.bsky.social
Fast-growing #skanestartups #hrtech #SaaS #startup @EletiveCom has secured a significant growth investment from #SiliconValley-based #VC firm @AccelKKR. [Press-release] https://eletive.com/blog/eletive-secures-growth-investment-from-accel-kkr/ #NordicMade #employeeengagement #performancemanagement
Eletive secures growth investment from Accel-KKR
Eletive has secured a significant growth investment from Accel-KKR to accelerate innovation, expand its platform, and deliver even greater value to customers.
eletive.com
November 6, 2025 at 2:10 PM
stratocore.bsky.social
💰 Simplify cost recovery with PPMS.

✅ Custom rules
💡 Subsidies and rebates based on eligibility
🏛️ Separate rates
🔒 Secure management of exceptions and overrides

Bring structure and efficiency to research costing.

🔗https://f.mtr.cool/gsurvgtadm

#CoreFacilities #SaaS
November 5, 2025 at 10:03 AM
bravobuilds.bsky.social
Stop wasting money on junk leads.

You're scraping keywords. I'm finding intent

I built an engine that gives leads a "heat score" based on their actual buying signals.

Watch this 60s demo

DM me "HEAT" if you want leads no one else can see

#leadgen #sales #b2b #saas #salestech
November 4, 2025 at 2:40 PM
proactiveitrec.bsky.social
Your expertise will be key to driving a shift towards services-based architectures, automation through APIs, and asynchronous, event-driven integration models.

www.proactive.it/job/senior-a...

#APIs #SaaS #Java #SQL #SOA
October 30, 2025 at 8:33 AM
sakura.aegis.cafe
it pisses me off that eight sleep makes genuinely good products that are ruined by being saas-based for no reason
October 21, 2025 at 8:17 AM
wwwilliedo.bsky.social
Hold on. There was a government payroll guy on here a few days ago explaining that the system as he knew it wouldn’t even allow payroll to pay these guys like Trumpstein said.

Do you think they leaked the data using some dumbass SaaS cloud based bullshit Nutlick told them to use for payroll 😂
October 17, 2025 at 4:05 AM
maddie.gay
Every usage-based, post-paid SaaS should require users on signup to choose between "I'm a business and I'll pay any amount to keep my services up" and "I'm an enthusiast and would rather pause everything if it crosses $x/month"
cait.bsky.social cait (and adonis) @cait.bsky.social · Oct 10
guy in a legal advice reddit wants to know how to get out of paying google the money he owes them after vibe coding one of his apps into running 40 times a second for several days straight, but says it's not his fault bc they should have stopped him by making it harder to use
r/LegalAdviceUK u/ShavedAp3 • 3d Join Google want to charge me 7 k for API access what can I do as they are denying appeals Debt & Money Hi there and thanks for reading. I tried to keep this brief and just ended up rambling on trying to get as much in as possible so here is my edited hopefully a lot smaller problem. Google are charging me 7k for a mistake that I told them about within a day, the bill went from about £45 to 16k in a day! when I asked for help I was told "dont worry well reset it as a one off, you'll need to put measures in place and ill guide you through those after you agree" So i did he then said "I will monitor it for a further 24 - 48 hours and then tell you how to put the measures in place. " Less than 24 hours later the bill was now 23k and I found out how to stop it myself. Then came the long back and forth to get it reset. Fast forward 5 months they have finally given me a 20k credit but with VAT the total bill at the time of the credit was 27k The 20k would have cleared the costs at the time of making them aware they claim its both our responsibilities to monitor costs I feel I did that by contacting them as soon as I saw the irregularity. I asked them to reconsider they said no the appeal has said that is their final offer so 1 now owe 7k. Is there anything I can do here from a legal standpoint. I don't have 7k I barely have £45. Thanks for reading I am in England if it helps. Intentional or not, OP used either 36k (16 + 20) or 43k (16 + 27) of API credit. Obviously what API it is matters, but with google maps, 16k would equate to ten million pulls. Or two hundred thousand Gemini 2.5 calls with 1000 token input and 5k token output. Those aren't numbers that something running correctly should run up for any average person or company. So either google screwed up something (which is unlikely that it would only happen to one person in the entire network) or OP has some app or something which isn't running properly and is sending too much to the API. Edit: It was OP's app, polling google maps nearly 40 times a second for days. tom_watts • 3d According to other posts he ended up polling Google maps direction API 2300 times per minute for a few days. Looks like a combination of OP not knowing coding and asking ChatGPT to do it for him, and potentially Google's backend doing something weird in interpreting the janky code. ••• 146 ShavedAp3 OP • 3d Even if that was the case and it wasn't the sign up process doesn't have the documentation I refer to. Funnily enough though asking an LLM to help me find it still took some digging after it did. If you work in the field im sure its easy but those just tinkering or learning not so much. If google didnt want people like me using it they could make it far harder to do so, they could have hard limits in place for sole users to prevent stuff like this and so many other things. Should they well clearly they don't think so and no doubt you agree that doesn't make it the right opinion it just makes it yours. • • • 4
October 11, 2025 at 3:42 AM
threatintel.microsoft.com
Storm-2657 is actively targeting a range of US-based organizations, particularly employees in sectors like higher education, with such "payroll pirate" attacks to gain access to third-party human resources (HR) software as a service (SaaS) platforms like Workday.
October 9, 2025 at 3:22 PM
heatherburnstech.bsky.social
On the day it happens, and it will, the executive power provisions within the Communications Act of 1934 and the National Emergencies Act of 1976 will allow him to kill switch the US internet. He will. Plan for that now, because it includes your US-based cloud storage and hosted SAAS applications.
sethabramson.bsky.social Seth Abramson @sethabramson.bsky.social · Oct 6
It seems clear—I think to everyone, now—that a false and illegal invocation of the Insurrection Act is coming before the end of the year. Media outlets should be telling us how they will prepare for this potential Treason. State governments should be telling us. Activists should be developing plans.
October 7, 2025 at 7:21 AM
wowbaggert.bsky.social
Typically enterprise agreements include language that states customer data is not fed back into training. So any assurances are based on legal frameworks and trust, although that's not a lot different from other SaaS arrangements.
October 1, 2025 at 5:13 PM
edzitron.com
The AI bubble inflated through mythology that LLMs and generative AI were "always getting more powerful," without ever defining what that meant. In reality, these probabilistic models never amounted to the promises that boosters and investors had made.
www.wheresyoured.at/the-case-aga...
In 2022, a (kind-of) company called OpenAI surprised the world with a website called ChatGPT that could generate text that sort-of sounded like a person using a technology called Large Language Models (LLMs), which can also be used to generate images, video and computer code. Large Language Models require entire clusters of servers connected with high-speed networking, all containing this thing called a GPU — graphics processing units. These are different to the GPUs in your Xbox, or laptop, or gaming PC. They cost much, much more, and they’re good at doing the processes of inference (the creation of the output of any LLM) and training (feeding masses of training data to models, or feeding them information about what a good output might look like, so they can later identify a thing or replicate it). These models showed some immediate promise in their ability to articulate concepts or generate video, visuals, audio, text and code. They also immediately had one glaring, obvious problem: because they’re probabilistic, these models can’t actually be relied upon to do the same thing every single time. So, if you generated a picture of a person that you wanted to, for example, use in a story book, every time you created a new page, using the same prompt to describe the protagonist, that person would look different — and that difference could be minor (something that a reader should shrug off), or it could make that character look like a completely different person. Moreover, the probabilistic nature of generative AI meant that whenever you asked it a question, it would guess as to the answer, not because it knew the answer, but rather because it was guessing on the right word to add in a sentence based on previous training data. As a result, these models would frequently make mistakes — something which we later referred to as “hallucinations.” And that’s not even mentioning the cost of training these models, the cost of running them, the vast amounts of computational power they required, the fact that the legality of using material scraped from books and the web without the owner’s permission was (and remains) legally dubious, or the fact that nobody seemed to know how to use these models to actually create profitable businesses. These problems were overshadowed by something flashy, and new, and something that investors — and the tech media — believed would eventually automate the single thing that’s proven most resistant to automation: namely, knowledge work and the creative economy. This newness and hype and these expectations sent the market into a frenzy, with every hyperscaler immediately creating the most aggressive market for one supplier I’ve ever seen. NVIDIA has sold over $200 billion of GPUs since the beginning of 2023, becoming the largest company on the stock market and trading at over $170 as of writing this sentence only a few years after being worth $19.52 a share. Sidenote: those figures reflect the fact that Nvidia’s stock split 10-to-1 in 2024 — or, said plainly, if you held one share before the split, you’d hold ten shares afterwards, changing the unit price of the company’s equity (making it cheaper to buy a share, and thus, more accessible to retail investors) without changing the absolute value of the company. This bit isn’t necessarily important to what I’ve written, but given the subject of this newsletter, I think it’s important to lean towards being as explicit as possible about the numbers I share. While I’ve talked about some of the propelling factors behind the AI wave — automation and novelty — that’s not a complete picture. A huge reason why everybody decided to “do AI” was because the software industry’s growth was slowing, with SaaS (Software As A Service) company valuations stalling or dropping, resulting in the terrifying prospect of companies having to “under promise and over deliver” and “be efficient.” Things that normal companies — those whose valuations aren’t contingent on ever-increasing, ever-constant growth — don’t have to worry about, because they’re normal companies. Suddenly, there was the promise of a new technology — Large Language Models — that were getting exponentially more powerful, which was mostly a lie but hard to disprove because “powerful” can mean basically anything, and the definition of “powerful” depended entirely on whoever you asked at any given time, and what that person’s motivations were. The media also immediately started tripping on its own feet, mistakenly claiming OpenAI’s GPT-4 model tricked a Taskrabbit into solving a CAPTCHA (it didn’t — this never happened), or saying that “people who don’t know how to code already [used] bots to produce full-fledged games,” and if you’re wondering what “full-fledged” means, it means “pong” and a cobbled-together rolling demo of SkyRoads, a game from 1993. The media (and investors) helped peddle the narrative that AI was always getting better, could do basically anything, and that any problems you saw today would be inevitably solved in a few short months, or years, or, well, at some point I guess. LLMs were touted as a digital panacea, and the companies building them offered traditional software companies the chance to plug these models into their software using an API, thus allowing them to ride the same generative AI wave that every other company was riding. The model companies similarly started going after individual and business customers, offering software and subscriptions that promised the world, though this mostly boiled down to chatbots that could generate stuff, and then doubled down with the promise of “agents” — a marketing term that’s meant to make you think “autonomous digital worker” but really means “broken digital product.” Throughout this era, investors and the media spoke with a sense of inevitability that they never really backed up with data. It was an era based on confidently-asserted “vibes.” Everything was always getting better and more powerful, even though there was never much proof that this was truly disruptive technology, other than in its ability to disrupt apps you were using with AI — making them worse by, for example, suggesting questions on every Facebook post that you could ask Meta AI, but which Meta AI couldn’t answer. “AI” was omnipresent, and it eventually grew to mean everything and nothing. OpenAI would see its every move lorded over like a gifted child, its CEO Sam Altman called the “Oppenheimer of Our Age,” even if it wasn’t really obvious why everyone was impressed. GPT-4 felt like something a bit different, but was it actually meaningful? The thing is, Artificial Intelligence is built and sold on not just faith, but a series of myths that the AI boosters expect us to believe with the same certainty that we treat things like gravity, or the boiling point of water.
September 29, 2025 at 5:37 PM
gordi.bsky.social
Satya Nadella and all of the people who push and happily develop SaaS and browser based JS dogshit that replaces robust designed dedicated applications for work purposes should have an appointment with a guillotine, I swear to god
September 23, 2025 at 5:54 PM
sergeycyw.bsky.social
$CFLT Confluent's Dollar-Based Net Retention Rate (DBNR) for the last quarter slightly decreased to 117%, but remains strong—ranking among the leaders in SaaS companies and in line with the median DBNR of 117% for the SaaS companies I monitor.
April 14, 2025 at 11:27 AM
velcov.com
I am a Lead Web Developer with 10+ years of professional experience.

I will be posting about:
• AI
• AWS
• SaaS
• Web Development
• Evidence-based health & fitness optimization for software developers
November 17, 2024 at 2:30 AM
sdxcentral.bsky.social
Bank of Bahrain and Kuwait Leads the Fight Against Financial Crime with SymphonyAI’s Best-in-Class AI-Based Anti-Money Laundering and Customer Due Diligence SaaS Products
Innovative predictive and generative AI products provide sca
December 3, 2024 at 3:57 PM
hamzabuilds.bsky.social
just shipped the MVP for midjourneylogo.com

Has the ability to generate text in logos plus SVG exports.

GTM strategy is purely SEO based with tons of Long tail keywords and lead magnets

#saas #microsaas #buildinpublic #indiehackers
Midjourney Logo Generator
Generate midjourney logos for your business or brand with support for SVG export and much more
midjourneylogo.com
December 29, 2024 at 4:00 AM
medriscoll.com
My take based on Snowflake, Databricks, Clickhouse, & others:

1. Vendor-run control + data plane = Fully-managed Saas

2. Vendor-run control plane + customer-run data plane = BYOC

3. Customer-run control plane + data plane = Licensed software

Also, imho #3 = bad idea jeans.
October 25, 2024 at 9:10 PM
startupswire.bsky.social
Qount’s cloud-based AI platform automates workflow, CRM, billing & more—helping accounting firms streamline operations & boost efficiency.

🔹 Expanding AI-driven automation & scaling operations

#AccountingTech #AI #SaaS #Automation #Qount
shorter.me/B4JkJ
Qount Raises $17M to Automate Accounting with AI Innovation
Plano-based Qount, a developer of AI-powered practice management solutions for public accounting firms, has successfully raised $17 million
shorter.me
February 6, 2025 at 5:44 PM
ethanwatrall.bsky.social
Beholder (which had previously just been a cloud-based SaaS photogrammetry solution) has launched a desktop version that is free for personal use and very reasonably priced for other uses ($55). Windows only, NVIDIA GPU, but is certainly a great, low barrier to entry option beholder.vision/desktop
Beholder | Photogrammetry in the cloud
Photogrammetry in the cloud
beholder.vision
January 3, 2024 at 3:00 PM
harrybailey.com
As AI infultrates every digital product, pricing products by users (or seats) becomes less profitable for SaaS businesses.

Could 2025 be the year of outcome based pricing for Saas?

And more importantly for me, will that lead to a swing to outcome based pricing for agency projects?
January 3, 2025 at 4:07 PM
dominicstpierre.com
january is the month of subscription pricing updates for a lot of providers it appears.

With the low CAD to USD rate (and everything going on with posibble US taxes incr) I'm starting to wonder if starting a Canadian based SaaS would make sense as-in priced in CAD and using only CAD resources :|
January 27, 2025 at 2:06 PM
mattficke.bsky.social
Patrick McKenzie (patio11) has something along those lines www.kalzumeus.com/standing-inv...
Generic Tips For Emailing Busy People • Specific questions are better than vague requests. Here's a vague request: "I was wondering if you could mentor me." What does that mean? It sounds like an unbounded time commitment on my part, and I have no clue how I could provide value to you. Here's a specific question: "I have a new SaaS in the $FILL_IN_THE_BLANK space. We're investigating customer acquisition methods, and having read your posts on SEO, I see that I need more links to rank for competitive queries. I've got three ideas for linkbait: SIDEA1, SIDEA2, and SIDEA3. Can you give me any suggestions on how I can get the maximum bang for my effort-based buck on these? Do you have any other suggestions for linkbait pieces in this space? Thanks!"
November 15, 2024 at 1:51 PM
bobbyiliev.com
Wave is the ultimate Laravel-based SaaS starter kit with features like authentication, billing, themes, plugins, and more. 🎉
Try the live demo: devdojo.com/wave/demo
Explore the docs: devdojo.com/wave/docs
Get started: devdojo.com/wave
#Laravel #SaaS #WebDevelopment
Wave Demo
devdojo.com
November 27, 2024 at 10:08 AM