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The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
1•gozzoo•1m ago•0 comments

A Horrible Conclusion

https://addisoncrump.info/research/a-horrible-conclusion/
1•todsacerdoti•1m ago•0 comments

I spent $10k to automate my research at OpenAI with Codex

https://twitter.com/KarelDoostrlnck/status/2019477361557926281
1•tosh•2m ago•0 comments

From Zero to Hero: A Spring Boot Deep Dive

https://jcob-sikorski.github.io/me/
1•jjcob_sikorski•3m ago•0 comments

Show HN: Solving NP-Complete Structures via Information Noise Subtraction (P=NP)

https://zenodo.org/records/18395618
1•alemonti06•8m ago•1 comments

Cook New Emojis

https://emoji.supply/kitchen/
1•vasanthv•10m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•13m ago•0 comments

Long-Sought Proof Tames Some of Math's Unruliest Equations

https://www.quantamagazine.org/long-sought-proof-tames-some-of-maths-unruliest-equations-20260206/
1•asplake•14m ago•0 comments

Hacking the last Z80 computer – FOSDEM 2026 [video]

https://fosdem.org/2026/schedule/event/FEHLHY-hacking_the_last_z80_computer_ever_made/
1•michalpleban•15m ago•0 comments

Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

https://github.com/webllm/browser-use
1•unadlib•16m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
1•mitchbob•16m ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•17m ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•17m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•20m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•24m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•24m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
2•tosh•29m ago•1 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•30m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•31m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•34m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•36m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•36m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•37m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•37m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•39m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•40m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•43m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•45m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•45m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•46m ago•1 comments
Open in hackernews

SEO VS GEO:I tried to studied GEO this week and found something interesting

https://amplift.ai/
1•icetearun•1mo ago

Comments

icetearun•1mo ago
n a previous post, I shared how Amplift helps indie developers promote their products. Instead of focusing on a single growth tactic, Amplift brings strategy, execution, and feedback into one workflow, so founders can clearly see where growth is working and where it is falling short.

In this post, I’ll focus on how Amplift helps your product get remembered and recommended by AI.

As more users rely on AI tools to discover products, being “searchable” is no longer enough. If your product is not structured in a way that AI systems can understand, remember, and confidently recommend, it simply will not appear in AI-generated answers. Optimizing for this manually is time-consuming and often unclear, especially for indie developers.

With Amplift, this becomes a simple, one-click process. The system analyzes your product, structures the key information in an AI-friendly format, and continuously improves how your product is interpreted and recalled by AI models. This allows your product to surface naturally when users ask AI for recommendations.

How it works:

1.Click the link below to enter the AI Visibility module 2.Enter your product website or landing page 3.Let Amplift analyze and extract core product signals 4.Generate AI-optimized product descriptions and entities 5.Publish structured content with one click 6.Monitor how your product appears in AI-generated recommendations 7.Receive real-time suggestions to improve AI recall and ranking

Click this link: https://amplift.ai/?utm_source=hackernews&utm_campaign=post_...

As always, if you like the product, comment “interested” and I’ll send you a free redemption code so you can fully try it out. If you have any questions or ideas, feel free to share them in the comments. I’d love to hear your thoughts :)