AI Agents2 months ago
Glowen AI — Intelligence that guides better decisions
AI platform to ask questions, generate images, and speak hands-free for better decision-making.
@Akinzoooo · X
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62 projects
AI platform to ask questions, generate images, and speak hands-free for better decision-making.
@Akinzoooo · X
Paste a listing URL. Get a full compound analysis in 60 seconds. Acreage, water, structures, access, and a veteran property tax exemption rules lookup — scored across 6 criteria.
@TractLens · X
Showcase work evidence to match with recruiters making skills-based hiring decisions.
rolesage · Product Hunt
RoleSage See the person in an avalanche of AI-polished applications
Manage policies and track audit trails for AI-generated user interfaces.
@Wovyr · X
Interactive AI audit funnel for analyzing systems with multiple visual approaches.
@jozef_x1 · X
🚨 I Vibe Coded F0ur (4) different versions of @coreyganim's "Ai Audit" Funnel, which is your favourite? VERSION #3:
An LLM agent that tracks goals and plans across sessions while showing exactly what it retrieves, verifies, and fails on.
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis
A collaborative, scorecard-driven housing decision app.
@VictorLepri · X
solution to organize house search, sharing with people to review and comment, rank and help make a structured decision. Tailored to NYC but works everywhere in USA
Define extraction rules once and apply them to turn PDFs into spreadsheets.
@PDFGrid · X
Embeddable visual workflow builder for web apps with optional AI assistance.
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t
Generate relational synthetic test data with exact outcomes.
@RasinMuhammedX · X
Declarative Synthetic Data Generation.
Build software with a team of AI agents through a game-like interface.
u/East_Operation1151 · Reddit
I built pondas: run a team of AI agents like a game to build an app I've been building this for a while and finally want to show it here. Most AI app builders are one model in a black box. You type a prompt, it guesses, and you hope what comes out works. I wanted the opposite: real control over how the AI builds. So in pondas you run a whole team of AI agents, and you control the loop they work in. What it actually does: - You describe an app in plain words and a team goes
