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nsa.tech: P2P Data Infrastructure

https://nsa.tech/
1•AquiGorka•3m ago•1 comments

Gityap – Ship vs. Talk Intelligence

https://gityapper-web.vercel.app/
1•dawitworku•4m ago•1 comments

Nebius to buy AI agent search company Tavily for 275M

https://nebius.com/newsroom/nebius-announces-agreement-to-acquire-tavily-to-add-agentic-search-to...
1•ashvardanian•5m ago•1 comments

OpenRouter: Free Models Router

https://openrouter.ai/openrouter/free
1•jhack•7m ago•0 comments

AI DiagScan – AI-Powered OBD2 Automotive Diagnostic Tool

https://pythoncyber.go.ro
1•diagscan•7m ago•1 comments

1940s Irish sci-fi novel features early mecha and gravity assists

https://github.com/cavedave/Manannan
1•donohoe•8m ago•0 comments

I cannot curl https://example.com (on some distros)

https://blog.outv.im/2026/i-cannot-curl-example-com/
1•outloudvi•9m ago•0 comments

Speed Can Reindustrialize America

https://austinvernon.substack.com/p/speed-can-reindustrialize-america
1•walterbell•9m ago•0 comments

Resist and Unsubscribe

https://www.resistandunsubscribe.com
2•softwaredoug•9m ago•0 comments

dc

https://en.wikipedia.org/wiki/Dc_(computer_program)
3•tosh•11m ago•0 comments

Show HN: Clawlet – AI agent with built-in semantic memory, one binary

https://github.com/mosaxiv/clawlet
4•mosaxiv•14m ago•0 comments

Automated Chemical Profiling of Wine by Solution NMR Spectroscopy

https://pubs.acs.org/doi/10.1021/acs.jchemed.5c00652
1•bookofjoe•14m ago•0 comments

Suggest HN: How to kill AI spam submissions

1•andsoitis•14m ago•0 comments

Inner-Platform Effect

https://en.wikipedia.org/wiki/Inner-platform_effect
2•tosh•15m ago•0 comments

Show HN: Typemux-cc – .venv-aware Python LSP proxy for Claude Code (no restarts)

https://github.com/K-dash/typemux-cc
1•K-dash•17m ago•0 comments

Doom Emacs package: ready to use configuration for Buf toolchain

1•Piprim•20m ago•0 comments

We hid backdoors in binaries – Opus 4.6 found 49% of them

https://quesma.com/blog/introducing-binaryaudit/
2•stared•20m ago•1 comments

Supercazzola – Generate spam for web scrapers

https://dacav.org/projects/supercazzola/
1•birdculture•21m ago•0 comments

The Epstein files, annotated by the crowd

https://epstein-studio.com
1•salkahfi•21m ago•0 comments

" Tech debt is gone. Not that we solved it, but that AI made it irrelevant."

https://www.axios.com/2026/02/15/ai-coding-tech-product-development
1•Balgair•23m ago•0 comments

Show HN: Dojocho – Shadcn for Coding Katas

https://dojocho.ai
1•proxylittle•24m ago•0 comments

Hans Bjordahl on Digital Transformation, and Culture-Led Design [video]

https://www.youtube.com/watch?v=elwjr_XFiCw
1•mooreds•24m ago•0 comments

Obama says aliens are 'real, but I haven't seen them' in out-there new interview

https://nypost.com/2026/02/14/us-news/obama-says-aliens-are-real-but-i-havent-seen-them-in-out-th...
2•SirLJ•25m ago•0 comments

Clawdrey Hepburn – an AI agent researching identity infrastructure

https://twitter.com/clawdreyhepburn/status/2022771820659622022
1•mooreds•26m ago•0 comments

I Vibe Coded the Epstein Files Podcast with Claude and Hit 100K Downloads

https://levychain.substack.com/p/i-vibe-coded-the-epstein-files-podcast
1•martialg•26m ago•0 comments

Colorado Deep Tech Summit

https://codeeptech.com
1•mooreds•27m ago•0 comments

AI is slowly munching away my passion

https://whynot.fail/human/ai-is-slowly-munching-away-my-passion/
3•ttouch•28m ago•0 comments

The Dark Side of the Enlightenment

https://www.newstatesman.com/culture/books/2026/02/the-dark-side-of-the-enlightenment
9•thinkingemote•34m ago•0 comments

TSMC's US investment plans at heart of $250B puzzle for chip sector

https://www.ft.com/content/b715b003-1d10-46d4-a02d-1c5969d0dbf8
1•andsoitis•35m ago•0 comments

Show HN: Ogimg.xyz – Generate OG images via API, no headless browser

https://ogimg.xyz
1•victorlgch•37m ago•0 comments
Open in hackernews

Ask HN: How to sell SaaS without AI features in 2026?

1•robeym•1h ago
I'm a developer who built an ERP/CRM system for small manufacturers (https://www.paxerp.com). It does all the basics very well; financial reporting, lot tracking, production planning, shipping carrier integrations, the usual workflow stuff—but there's zero AI in it. It's just fast, clean, and solves real problems I saw working in manufacturing ERP systems. The product works well, customers really like it, but I have almost no sales experience.

Every SaaS founder seems to be talking about "AI-powered insights" and "intelligent automation." while... We just have a clean system that is fast and tries to stay out of the user's way.

For those who've sold B2B SaaS (especially to traditional industries like manufacturing):

- Is "no AI" actually a disadvantage, or does it not matter as much as I think?

- How do I communicate value when the value is "it's simple and fast, and your data is highly accessible" vs "revolutionary AI"?

- Should I be adding AI features just to check a marketing box, even if customers don't need them?

You can learn more about why I built this on the websites about page. But now I'm wondering if I'm fighting an uphill battle by not having the buzzwords everyone else does.

Any advice from founders who've been here?

TY

Comments

codingdave•59m ago
It doesn't matter one bit what other SaaS founders are saying. What matters is what your customers are saying. Are they happy with the feature set? Then you are fine. Don't over-engineer a product just to keep up with founders who have nothing to do with your product or market.

Of course, if your customers start asking for such features, go ahead and respond to that demand.

robeym•16m ago
But my question is more so about new customer acquisition. Existing customers are happy, but what about for growth and traction?
NTCTech•43m ago
The pendulum is definitely swinging back.

In 2024, "AI" was the value prop. Now, for many enterprise buyers, it's becoming a liability (compliance risk, hallucinations, unpredictable costs).

If you are solving a high-friction, "boring" problem—like plumbing compliance, legacy database migration, or payroll—nobody cares if there is an LLM involved. In fact, marketing "Deterministic Output" (i.e., it does exactly what you tell it to do, every time) is starting to feel like a premium feature again compared to the probabilistic nature of GenAI agents.

Build for the pain, not the buzzword.