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60 projects
Refine ideas through logical reasoning and publish them to a community of verified knowledge.
samcymbaluk · HN
Axiom toolkit – Make your ideas precise enough to be proven wrong
Turn business data into trusted AI-generated answers with full traceability to sources.
sluice_data · Product Hunt
SluiceData Turn scattered data into trusted, AI-ready answers
Pythony manages 5 data types including ai generated contents. Helps you organize, track, and share your work in 1 place for teams and solo users.
@shawah_tam84362 · X
Suite of developer tools for processing files locally — CSV, Parquet, JSON viewers and decoders with no cloud uploads.
u/sheshu29 · Reddit
My side project Hey everyone i have just created this website for developer who does not want to rely on ai agents so please visit and give me some feedback if you want any specific tools 🫠 submitted by /u/sheshu29 to r/SideProject [link] [comments]
Self-hosted hybrid RAG on a €116/month cluster — Postgres, BM25, vectors, a reranker, and a public benchmark score for every claim.
victor_edka · HN
HRAG – Hybrid RAG on €116/month of Hetzner, officially benchmarked
Analyze Python code across 14 quality dimensions to detect violations and measure capabilities.
@KSFirasa · X
Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!
Ecossistema de infraestrutura de automação: 376 templates com JSONs de n8n de IDs sanitizados, scripts de provisionamento e checkout Web3 em BNB Smart Chain.
@fxfire4345 · X
Local-first cognitive runtime with live AST graphs, runs in your browser with no data sharing.
@fortsignal1 · X
A visualization language designed for AI agents to create and interact with charts.
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple
Explore prerequisite-ordered concept cards in an interactive learning deck, no login required.
mohith-sarma · HN
Manthan a MCP server to store Concept cards with prerequisite links
Convert lecture notes and PDFs into flashcards, quizzes, summaries, and audio podcasts.
u/LineMission3540 · Reddit
Would Love Feedback on an AI Study Tool I'm Building I’m a high school student currently building Vulty, an AI study tool that organizes and turns lecture notes and PDFs into interactive, editable note summaries, flashcards, quizzes, and even 1 to 15 minute audio podcasts. We’re starting early access testing before launch, and we would love feedback and beta testers. You can test Vulty out at https://vulty.org/ . If you'd like to access Pro or Premium mode for testing for free, DM me and I c
Open-source engineering onboarding built around a living graph of how your org actually works - services, contributors, and decisions inferred from commit history, surfaced as an o
@Syncyeep · X
