Finance & Business2 weeks ago
Clarix – AI for Legal Clarity
Analyze legal documents with AI to identify risks and get actionable insights.
@ShivamT_Pro · X
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Analyze legal documents with AI to identify risks and get actionable insights.
@ShivamT_Pro · X
Analyze customer friction points and get optimization recommendations to improve e-commerce conversion rates.
@EnricoBoeker · X
Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X
AI assistant for legal, finance, research, and coding that cites sources for every claim.
@Laharmckenzie · X
AI-powered code review that runs code in microVMs to catch more bugs.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db
Monitor AI model calls, agent steps, and retrieval with token tracking, cost analysis, and latency metrics.
ephraimduncan · HN
Observability for Coding Agents and LLM Applications
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
Analyze GitHub pull requests with AI to get a merge confidence score.
@aryawarti_aky · X
Hey Daniel ! I Built PRisk — an AI-powered pull request risk intelligence platform for GitHub & Gitea. Paste a PR URL and get an evidence-backed Merge Confidence Score before you merge. 🔗 I'd love to hear your feedback!
AI-powered platform that analyzes Reddit and GitHub discussions to generate customer insights for product decisions.
@Tweet2Tusharr · X
hey everyone 👋 we've been working on something over the last few weeks around customer research. we'd genuinely love if you could spend 5 minutes trying it and tell us what we're getting wrong.
Scan websites for AI design patterns and score how AI-generated their design looks.
hubraumhugo · HN
Design slop is the feeling that tells you a website is purely AI-generated. This is an attempt to classify the design patterns behind it. Applying this scoring to recent ShowHN submissions shows that about a third of the submissions show medium to heavy design slop: https://slopcop.adriankrebs.ch/show How the scoring works: - A headless browser loads each site (Playwright) - A small in-page script analyzes the DOM and reads computed styles - Every pattern is a deterministic CSS or DOM check. There are false positives, but my manual QA run verified it’s maybe 5-10%. Is design slop bad? Not really, just uninspired. After all, the web was never about the fanciest design, and before the AI era, everything looked like Bootstrap. However, there is a difference between trying to craft your own design and just shipping with whatever defaults the LLMs output. And the same has been the case pre-LLM when using CSS/HTML templates. I guess people will get back to crafting beautiful design
Generate AI-powered UGC video ads from product URLs with trend analysis and viral scripts.
@z_duane · X
Inject engineered cognitive abilities into AI agents at inference time.
@frank_brsrk · X
reasoning tools for ai agents