
AdIQ.AI - AI-Powered Ad Intelligence
Analyze why your Meta ads work with AI-powered creative intelligence.
@TheChrisMarrano · X
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60 projects

Analyze why your Meta ads work with AI-powered creative intelligence.
@TheChrisMarrano · X

Scan websites for AI usage and test chatbots for bias and safety with this open-source EU AI Act compliance toolkit.
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff

Share PDFs and documents as secure links while tracking who viewed each page.
@adhikari_premi · X

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

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

Connect ad accounts to let AI audit spend, launch campaigns, and scale winning ads.
rohanrecommends · Product Hunt
AI Media Buyer By Creatify Your ads, managed by AI that gets smarter daily.

Advanced Content Ecosystem Tracking and Creator Analytics Platform
@BuiltByAmar · X

AI autopilot that picks topics, writes articles, generates images, and publishes to WordPress.
@DacyoUI · X
- automate your blog and content publishing

Run UX research studies, surveys, and usability tests to gather user insights for your products.
@inslit_ · X
Check out our User Research and testing platform: We have opened registrations for our testers. So go and be a tester at Inslit and get rewarded for your work.

Try a high-performance React data grid component optimized for enterprise use.
@leethatengineer · X
Building LyteNyte Grid

Browse and test OpenAPI endpoints, compare specs, and generate mock data in your browser.
@_codewithshahid · X

Organize projects, tasks, bugs, sprints, and roadmaps in one workspace with AI context exports.
@Fluxify_pro · X
everyone who sign up today, get free pro plan, without credit card