
Recon — Competitor Intelligence Platform
Monitor and analyze competitor strategies with AI-powered insights.
@NateDenisal · X
Working on a competitor intelligence platform,
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Monitor and analyze competitor strategies with AI-powered insights.
@NateDenisal · X
Working on a competitor intelligence platform,

Compare AI coding models on real tasks with live previews, cost tracking, and ELO rankings.
@intheworldofai · X
On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.

Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

Quantitative trading toolkit for Polymarket BTC prediction markets with live performance tracking.
@WolfOfTradingCN · X
可以关注我,我最近整合了几个大平台,准备做一个线上的综合选股量化工具,polymarkt的实时量化已经有实盘模拟上线了

Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

Backtest stock trading strategies using decades of historical market data.
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉

AI-powered sports analytics to inform betting decisions.
@Griffithjade626 · X

Extract content ideas and scripts from YouTube comments using AI.
@comment_wisdom_ · X

AI agent that automates business growth: audience research, lead generation, outreach, and competitor tracking.
@myhermeshost · X
Guys if you want to increase sales of your business here u go:

Analyze what ChatGPT, Claude, Gemini and Perplexity recommend in your category and who they suggest instead of you.
u/EmbarrassedBuddy9743 · Reddit
I built a free tool that shows who AI recommends in your category (and who it names instead of you) When you ask ChatGPT, Claude, Perplexity or Gemini for the best tool in a category, they recommend the same few incumbents and quietly skip everyone newer. Most founders have no idea whether AI is recommending them or their competitors. So I built Bersyn. You type your domain, it asks the four models the questions your buyers actually ask, and shows who gets recommended in your category, who

Browse 184 Elon Musk predictions and see which came true, with citations to tweets and interviews.
@HowardYHuang · X

Explore interactive data analysis of current AI hype levels and market trends.
laurentiurad · HN
I built a web page that aggregates data about data center buildup, sovereign fund investments into AI and bottlenecks. The objective is to predict AI race cooldown by looking at a potential decrease of activity involving these elements. The website looks at the quarterly forms from the 5 biggest hyperscalers and adds their CapEx into the mix, calculating a composite index in the end showing how likely it is for the AI race to slow down. Enjoy!