@Eli_Greenfeld · X

Dgeloe4-yb · GitHub

market-pilot Evidence-grounded market research prototype with traceable AI workflows.

hobbescotch · HN

Noema – AI personas debate US listed stocks

@iraftopo · X

Replacing SEO dashboards with accountable decisions

@Enchantifyink · X

Cool, I like those things. Also, a lucid dreaming app sounds wicked. I'm building an app that turns your ordinary day into a fantasy book you can hold.

@ayan11200 · X

try this one Free solution

@marcus_b1973 · X

Honest AI panel validates your idea before you build it.

u/ICARUS_2X · Reddit

Spent 7 months building a FOSS platform for natural-language chess analytics (No LLM) Hey guys, I've released CHONSE2, an open-source game review platform that offers unlimited analysis and move explanations without using hallucination-prone LLMs, running entirely in your browser. chonse2.com But Lichess is free, so why use this? Some have asked. It expands on Lichess's feature set a few different ways: Full analysis (accuracy/elo estimations/eval graphs, etc) requir

davidtsong · HN

Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

@matthew_meadows · X

Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

@AbhinavtejR · X

u/zx9rams · Reddit

I built a Bible tool designed so the AI can't just make things up. I've been building this for a while and the part I actually care about is the architecture, because an AI that reads the Bible is exactly the thing nobody should trust by default. So its built the opposite way, the model is treated as untrusted and the code owns every real decision. every quote is checked word for word against the Hebrew and Greek before it shows, so the model cant paraphrase scripture into an answer eve