
Aurora — Glass-Box Quantitative Intelligence | Local AI Verification Cortex
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
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Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents

Inspect AI reasoning traces and evaluate model groundedness in your AI systems.
malik_dixon1 · Product Hunt
TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork

Generate AI summaries and insights from stock earnings call transcripts.
@thatmarkzhong · X

Evaluate and compare AI candidates against a baseline, veto regressions, and return auditable decisions.
@JustinGarr90748 · X
We're building Cyberelf labs because a better score doesn't mean a better model.

Chat with an AI that explains its confidence in every answer with full reasoning.
u/RayanBuilds · Reddit
I’m 18 and built an AI chat app solo. Tear it apart (brutal feedback welcome) Built this solo this year at 18. It’s called Veris, an AI chat + writing assistant. I know, “another chatbot” 😭. So I gave it stuff the big ones don’t. Favorite feature: upload an image and pick a mode: Normal (it analyzes it) or Debate (it actually argues with you about it). Not selling anything. I just want to know: what would an AI have to do for you to use it daily? submitted by

Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X

Run your prompts through Claude, GPT, and Gemini to get AI-audited consensus answers.
@StevenJdotCom · X
One AI makes mistakes. Three catch each other's. AI Consensus runs your prompt through Claude, GPT and Gemini. They work it independently, then critique each other until they reach consensus — handing you an AI audited, combined answer.

AI operating system that transforms business problems into company briefs and accountable build plans.
@MarkZofMarkZ · X
- in process of updating it currently, making it better. How about you? What are you building?

Aggregate and view context-rich briefs from your AI agents.
flysonic10 · HN
Meltbox – where your agents send you briefs

Track AI updates and news with AI-curated daily briefings and trend analysis.
@Mileson07 · X
今天Codex、Claude Code 重置了吗? 我做了一个追踪的网站,每小时追踪 Tibo、Boris Cherny 两位主理人,以及对应的官方推特账号, 快速了解到,有没有可能重置,最近是不是已经重置了 而且还能详细看到历史的重置情况,分析未来的重置可能性,过去两周真是疯狂的重置~

Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

Trace, replay, and verify AI agent decisions with signed audit trails.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in