Developer Tools2 weeks ago
growth-loop.dev — you built it. Now what?
AI growth advisor that analyzes your product and guides you to your first users.
@_knyazeVartem_ · X
Ladies and gentlemen
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AI growth advisor that analyzes your product and guides you to your first users.
@_knyazeVartem_ · X
Ladies and gentlemen
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.
Run AI-assisted scans on your AI-built product before launching.
shahzar_shad · Product Hunt
Launchieve Launch your AI-built product with fewer surprises
A visualization language designed for AI agents to create and interact with charts.
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple
Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
Autonomous AI system that identifies high-value SEO ranking opportunities and executes optimizations automatically.
@hola_gmi · X
built with claude ai. —
Get AI-powered investment research tools like DCF models and stock screening for individual investors.
@StephanInvests · X
Building a financial saas at the lowest price for people to put more towards their financial goals
AI operating system for managing revenue, leads, and business automation.
@AevumAIHQ · X
Your new business center
In-browser AI model manager with download progress tracking.
wassimgr · HN
Weightlift – the missing package manager for downloading model weights
Chat with AI models, compare them, and vote to shape a community leaderboard.
u/Rabus · Reddit
I got TestingModels too overcomplicated over the month it is running: looking for some feedback how to make it more useful and simpler I run a benchmark like arena.ai , but with pre-generated prompts. So far, nearly 6k people came in and like 30k comparisons has been made - which means the thing is genuinely useful for people to compare the models. The problem is the more features i started adding the more overblown and complicated UI became - like old internet explorer tab bars Old: ht
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
Create AI-powered product roadmaps, manage tasks, and collect feature feedback.
@jimmy_harika · X
TLDR: Notion shipped my exact app that I have using in my daily workflow from last 2 years. Try here: It got a mcp that wires to your claude code and codex. Git integration is almost complete and will ship in coming days