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60 projects
Query real-time crypto data including prices, whale activity, DeFi TVL, and staking yields in multiple languages.
matrixnk · Product Hunt
ChainPulse Agentic mediator for Crypto Intel
Rank GitHub repositories and developer tools on a pay-to-rank leaderboard.
@OngDevLab · X
Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams
Centralize customer feedback, prioritize with public voting, and share interactive product roadmaps.
@himanshu_b20 · X
Explore datasets, compute statistics, visualize distributions, and run inferential tests.
@DaytonaRaised · X
Check out what I just built with Lovable!
Privacy‑first, EU‑hosted product feedback, public roadmap, and changelog—built for alignment and customer‑driven delivery. Built for SaaS teams to collect...
@yvesdalyy · X
Transform your content with AI-powered geopolitical insights
@umeshgeeta · X
Here is what we have done so far: 1. Product: (name, email & country only for registration; no payment or info) 2. Chrome Extension: 3. Company: Will be more than happy to give a demo and talk more about what we are up to. Thanks!
Organize projects and manage multiple data types in a visual planning workspace.
u/One_Progress_1044 · Reddit
Update #3: from 0 to 3k monthly active users in less than 3 months, and my 2 cents! hey everyone! been quiet for about 40 days so i figured i owe an update. quick background i started building spaceplanner 2.5 months ago and have already posted here a few times about the progress. it is a simple floor planning tool, in a seriously boring niche. nobody dreams about floor plan software. and that is exactly why it worked. why i built it i needed one myself. everything goo
Query spreadsheets and datasets with natural language questions to instantly generate 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
Track competitor pricing, features, and messaging changes weekly.
@Caden1Fenn · X
Intel Brief — tracks what your competitors change (pricing, features, positioning) and delivers it to your inbox weekly. Built for indie SaaS founders.
Cache and reuse deep research reports to avoid re-running expensive research queries.
u/illerminati · Reddit
Caching Deep Research Output Hi r/SideProject . Just sharing a side project I've done in the recent weeks that I think might be useful for some. I use deep research at work to understand unfamiliar software domains, and in my personal life to compare products before buying them. I can’t use my company's LLM for personal use, and the publicly available deep-research products (like Claude and OpenAI) are too expensive for my taste, so I built a DeepSeek-powered alternative. The pipeline s
