Finance & Business3 weeks ago
mtok.market - spot pricing for AI tokens
Buy and sell AI inference token capacity on a non-custodial spot market.
royashbrook · HN
Show HN: Mtok.market – a non-custodial spot market for AI inference tokens
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Buy and sell AI inference token capacity on a non-custodial spot market.
royashbrook · HN
Show HN: Mtok.market – a non-custodial spot market for AI inference tokens
Unified cloud platform combining database, AI inference, functions, containers, and storage.
kiran-ravi · HN
Scalix World – AI native Neo cloud built by two engineers in Rust
Deploy AI inference models on serverless GPUs with sub-200ms cold starts and pay-per-second billing.
@svpino · X
You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.
AI-powered Wisdom Twin assistant helps preserve institutional knowledge and judgment for enterprise employees.
@romanbodnarchuk · X
Check out what I just built with Lovable!
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X
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
Inject engineered cognitive abilities into AI agents at inference time.
@frank_brsrk · X
reasoning tools for ai agents
Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities
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.
Query spreadsheets and datasets with plain-English questions to generate instant answers and reports.
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav
Test AI agents against production mirrors using replayed traces to find bugs and regressions.
aisinghal