Productivity1 month ago
Make every decision retrievable. | Decision Log
Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X
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14 projects
Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X
AI operating system for founders that turns strategic thinking into tracked execution.
@AshiveCompany · X
Test AI agents against production mirrors using replayed traces to find bugs and regressions.
aisinghal
AI scans competitors and market data to validate if a startup idea is worth building in 90 seconds.
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
Deciding is the part you can’t delegate. Capture from anywhere, including inside your assistant, and keep one list on web, Windows, Mac, and iPhone.
u/Mean-Papaya3532 · Reddit
Done Bear - a local-first task manager with MCP, an API and a CLI Done Bear is a task manager with the five GTD lists, Inbox through Someday, and not much else. https://donebear.com Your AI assistant can use it. A hosted MCP server lets Claude or ChatGPT read your tasks, add them and tick them off, with your permission and nothing running locally. There's a GraphQL API and a CLI too, if you'd rather script it. It runs on the web, Mac, Windows, Linux and iPhone. Tasks live on your device
AI-powered tool that analyzes 10,000+ product reviews to help you make informed shopping decisions.
@saurabh_codes13 · X
Publish tasks to evaluate and benchmark different AI agents and tools on a leaderboard.
u/Ruqii-ruqii · Reddit
I built an open Eval to compare different AI agents/tools/pipelines and find which solution works the best (not very pretty╥﹏╥, but practical) The original reason I built it was because I wanted to find a good PDF parser. Every PDF parser claims to be the best, but none of them can get my PDF 100% correct. They would either miss numbers or hallucinate some. Or they get PDF A and B correct but failed at C. Or get C correct but failed at A and B. Very frustrating. So I create
AI agent that learns from your documents and Notion to automatically handle customer support.
@vela_cx · X
AI phone agent that autonomously answers and resolves incoming calls.
@akshaysolenk · X
Just launched. Building in public.
AI assistant for legal, finance, research, and coding that cites sources for every claim.
@Laharmckenzie · X
AI assistant that learns your workflow and routes coding tasks across 30+ frontier models.
@otakuaakash · X
Verify AI responses in real-time by auditing with multiple models for reliability.
u/inc_23 · Reddit
Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon