Other3 weeks ago
Moddelix | The financial model investors and lenders ask for
Answer guided questions about your business and watch your model build live. Get an investor- and lender-ready spreadsheet in about 20 minutes.
@YKoltashev · X
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60 projects
Answer guided questions about your business and watch your model build live. Get an investor- and lender-ready spreadsheet in about 20 minutes.
@YKoltashev · X
Agent-native TypeScript framework that trains and deploys custom ML models on managed GPUs.
@soleil_colza_ · X
Analyze and underwrite hotel investments with automated financial models and sensitivity analysis.
u/Additional-Study2600 · Reddit
Yaay!!! I finally got some subscribers to my platform after 6 weeks… any growth tips? Hey yall I’m super excited because after months of vibe coding and sleepless nights learning about repos, PRs, branches and commits to main lol I finally have a product I’m proud of and my first real revenue! The platform is called Underwrote.AI. it’s B2B and it’s somewhat niche… it’s underwriting software for hotel acquisitions (think institutional-grade Excel models, generated from a guided workflow). O
Generate AI images with Flux and train custom models on your appearance or style.
@CodeFoundry1 · X
Compare decisions across four frontier AI models (GPT, DeepSeek, Gemini, Claude) in one workspace with sandboxed code preview.
@painterner · X
After a year away, I’m back to indie hacking. Built with Claude and GPT in two weeks, Disidea is my first launch of the year: four AIs debate your decisions in one thread. Try it: Questions? Ideas? Let’s build great products and make money. Who’s in?
Local-first cognitive runtime with live AST graphs, runs in your browser with no data sharing.
@fortsignal1 · X
Generate AI videos and images with multiple AI models like Veo, Kling, and Sora.
VisioArt — 一站式 AI 图片和视频创作平台
Access open-source AI models developed in China through a privacy-focused API service.
@Jenny5143197635 · X
Compare how different AI models generate frontend code and view accessibility scores.
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •
Test small language models (8M-13M parameters) in your browser that work offline.
u/Live_Confusion_3003 · Reddit
I trained an LLM that runs on an ESP32 and directly in the browser Link to try it out yourself is: topk.sh The models download their weights directly in the browser so it works offline. Keep in mind they are very small and inaccurate. (8M and 13M parameters) However, I am building 500M and 1B+ parameter local models for agent based coding and other purposes. I will be shipping hardware designed for these tasks which connect directly to you computer or other device.
View LLM model rankings across 10 benchmark questions.
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol
