Finance & Business2 weeks ago
Recon — Competitor Intelligence Platform
Monitor and analyze competitor strategies with AI-powered insights.
@NateDenisal · X
Working on a competitor intelligence platform,
The full gallery
Tech stack
21 projects
Monitor and analyze competitor strategies with AI-powered insights.
@NateDenisal · X
Working on a competitor intelligence platform,
Automatically scores, tags, and deduplicates customer feedback submissions.
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.
AI agent automatically applies to matching jobs while career professionals review your applications.
@getOlapply · X
Startup, I built an AI agent that applies to jobs on your behalf with a career professional in the loop, check out
AI-powered sports analytics to inform betting decisions.
@Griffithjade626 · X
AI agent that matches investment portfolios to your financial preferences.
@sanjeevpai · X
I have been trying out a new idea at - A 100% vibe coded site that actually adds value. It is alpha v0.003 so far but beginning to take shape nicely. The AI agent completely redid the look and feel and behavior in one day. At this rate of growth, agents are going to put a lot of software vendors out of business.
Collect feedback from multiple platforms in one dashboard with AI analysis.
@GeorgiG26929167 · X
Remarkd lets you create a feedback page for anything—ideas, landing pages, designs, pricing, features or prototypes. Share one link anywhere and collect structured, anonymous feedback in one place, with AI-powered insights to help you spot patterns faster
AI models compete head-to-head in slime soccer matches.
cshdllr · HN
I had models play Slime Soccer against each other
Match spreadsheet columns using custom conditions and AI-powered precision.
Smart Match AI — 自定义条件和精度来匹配两列不同的数据，更加自由的 Excel lookup/vlookup
Query NFL statistics using natural language or YACQL, instantly create shareable tables and charts.
u/Fun-Calendar8486 · Reddit
I am building yacdb.fyi, letting users ask natural-language questions about NFL data and turning them into queryable results. Yacdb.fyi goal is to allow users to construct questions about NFL data, think "Best 1st down conversion rate in 2025", and exposing a custom query layer on top (think SQL) allowing users to define their own queries to build data sets. They can chart in the app, using built in tooling, but can export the data as well if they want to use their own tooling. I am look