Hacker News

Article URL: https://claude.com/solutions/government

Comments URL: https://news.ycombinator.com/item?id=47132022

Points: 1

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Article URL: https://patents.google.com/patent/US12513102B2/en

Comments URL: https://news.ycombinator.com/item?id=47132014

Points: 1

# Comments: 0

Article URL: https://www.cnn.com/2026/02/23/investing/us-stocks-trump-tariffs

Comments URL: https://news.ycombinator.com/item?id=47132012

Points: 1

# Comments: 0

Article URL: https://www.cnn.com/2026/02/23/business/peter-attia-resigns-from-cbs-news-following-epstein-backlash

Comments URL: https://news.ycombinator.com/item?id=47132005

Points: 1

# Comments: 0

Article URL: https://every.to/also-true-for-humans/why-i-turned-off-chatgpt-s-memory

Comments URL: https://news.ycombinator.com/item?id=47132001

Points: 1

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Article URL: https://huggingface.co/blog/FINAL-Bench/pumpdump

Comments URL: https://news.ycombinator.com/item?id=47131991

Points: 1

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Article URL: https://lewiscampbell.tech/blog/260224.html

Comments URL: https://news.ycombinator.com/item?id=47131980

Points: 1

# Comments: 0

I’m the maker of Indie AI Directory — a purpose-built catalog that highlights independent AI tools, startups, APIs, and experiments built by makers who aren’t backed by big funds or traditional marketplaces.

What It Is

Indie AI Directory is a searchable, categorized directory of AI tools and resources created by indie developers and solo founders. Each listing includes:

A short description of the AI product

A link to the tool or landing page

Relevant categories/tags for easier discovery

Optional founder credits and further links

The site is designed to help:

Discover emerging AI tools you may otherwise never find

Give indie makers visibility beyond social feed posts

Connect builders with early adopters and collaborators

Unlike most directories that are either static lists or focus only on funded startups, this one prioritizes indie-built AI work.

Why It Matters

There’s an explosion of AI tools every day, yet many interesting or useful projects — especially from solo builders — get buried in search or social feeds. A central, easy-to-browse resource helps:

Developers and users find niche tools faster

Founders get early traction, backlinks, and discoverability

The indie AI ecosystem gain visibility

I built this because as an indie maker myself, I saw too many makers struggle to find a place where their project could be both found and appreciated.

Paid Submissions (Why They Exist)

To keep the directory sustainable and well-curated, featured listing options are available. Paid submissions help cover:

Ongoing development & infrastructure

Manual curation and quality control

Better SEO and more traffic for all listings

You can still submit for free, but featured/priority positions bring extra visibility. Anyone can submit via:

https://indieai.directory/submit

I’ve structured the pricing to be:

Transparent and affordable for early stage makers

Predictable and worth the value if you’re looking for discoverability

Who This Is For

This directory is especially useful for:

AI builders looking for audience & early feedback

Developers searching for useful tools to integrate

Product teams scouting emerging ideas

Anyone interested in indie AI innovation

Feedback Welcome

I’m posting this here because HN folks are often early adopters, creators, and builders — the kind of audience who has experience with indie tools or launching them. I’d love feedback on:

What filters or categories would you find most useful?

What features would make this directory more valuable?

Do you see value in paid featured submissions?

Would appreciate honest thoughts — thanks!

Comments URL: https://news.ycombinator.com/item?id=47131976

Points: 1

# Comments: 0

Article URL: https://www.anvilogic.com/threat-reports/macsync-infostealer-via-clickfix-claude-artifact-abuse

Comments URL: https://news.ycombinator.com/item?id=47131961

Points: 1

# Comments: 1

Article URL: https://github.com/reasondb/reasondb

Comments URL: https://news.ycombinator.com/item?id=47131959

Points: 1

# Comments: 1

Article URL: https://senstech.fr

Comments URL: https://news.ycombinator.com/item?id=47131956

Points: 1

# Comments: 0

Article URL: https://www.thedrive.com/news/electric-cars-are-making-it-easier-to-breath-study

Comments URL: https://news.ycombinator.com/item?id=47131941

Points: 1

# Comments: 0

Article URL: https://www.youtube.com/watch?v=31irKJxz9Ug

Comments URL: https://news.ycombinator.com/item?id=47131933

Points: 2

# Comments: 1

Article URL: https://protocolized.summerofprotocols.com/p/american-skyway

Comments URL: https://news.ycombinator.com/item?id=47131915

Points: 1

# Comments: 0

I'm 19, a solo developer and freelancer. I built ctxt.sh because I was tired of spending weeks understanding new codebases when joining projects or inheriting legacy code.

ctxt.sh indexes your entire repo – every file, every commit, every PR discussion. Then you can ask it questions in plain English:

> "How does authentication work?" > "Where is the Stripe webhook?" > "Why was this API changed last month?"

It returns answers with citations – links to specific files and lines.

Try it: https://ctxt.sh

Tech stack: Next.js, Supabase, Pinecone, OpenAI, hosted on Netlify.

Would love your feedback!

Comments URL: https://news.ycombinator.com/item?id=47131912

Points: 1

# Comments: 1

Hey HN — I'm Parth, I built thisorthis.ai because I was tired of copy-pasting the same prompt across ChatGPT, Claude, and Gemini tabs to figure out which model actually gave the best answer.

What it does: You type one prompt, pick 2–6 models (we support 47 text models and several image models across OpenAI, Anthropic, Google, xAI, Meta, Amazon, Mistral, Cohere, AI21), and see every response side-by-side. There's also a feature called SmartPick that uses an LLM evaluator to score each response on Clarity, Accuracy, Completeness, and Helpfulness — useful when you're comparing 6 models and don't want to read everything carefully.

Beyond comparison, there are two other things I've built:

Workspaces — You can create multi-panel layouts where each panel has its own model, system prompt, and conversation history. So instead of "Hey ChatGPT, you're a code reviewer" every time, you set it once and the panel remembers. I use a "Customer Support" workspace with 6 panels daily — Ticket Drafter on Claude Haiku, Escalation Handler on Sonnet, Knowledge Base Builder on GPT-4o, etc.

Prompts Library — Hundreds of prompts across 10 categories. Less interesting technically, but saves a surprising amount of time.

Some things HN might care about: * No API keys needed — we handle all provider connections * Private Mode does zero-trace testing (nothing stored, nothing logged) * Everything is encrypted at rest * Image generation comparison works too (ChatGPT Image vs Grok Imagine vs Gemini) * Free tier exists with limited models and capacity. Paid tiers are $29/$59/$99.

Tech stack if anyone's curious: AWS (DynamoDB, Lambda, SQS, S3), with separate provider integrations for each AI model. The tricky part was building context management for multi-turn conversations across different providers — each has its own message format, token limits, and quirks.

We hit #11 on Product Hunt last year when we launched and have ~15K users. But honestly the feedback I most want is from this community — what's missing, what's broken, what would make you actually use this daily?

Happy to answer any questions about the architecture, pricing model, or anything else.

Comments URL: https://news.ycombinator.com/item?id=47131897

Points: 1

# Comments: 0

Article URL: https://krebsonsecurity.com/2026/02/starkiller-phishing-service-proxies-real-login-pages-mfa/

Comments URL: https://news.ycombinator.com/item?id=47131890

Points: 1

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Article URL: https://www.evolvingintelligence.ai/anno

Comments URL: https://news.ycombinator.com/item?id=47131885

Points: 1

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Article URL: https://github.com/stephengpope/thepopebot

Comments URL: https://news.ycombinator.com/item?id=47131542

Points: 1

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Article URL: https://research.scheme.org/lambda-papers/lambda-papers-scheme-report.html

Comments URL: https://news.ycombinator.com/item?id=47131520

Points: 1

# Comments: 1