
策引 - 系统化投资分析平台 | 策略回测与组合管理工具
Backtest investment strategies, track portfolios, and analyze markets with AI assistance.
策引 — 全球市场技术分析工具,可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能,可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。
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Backtest investment strategies, track portfolios, and analyze markets with AI assistance.
策引 — 全球市场技术分析工具,可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能,可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。

Create dynamic QR codes with custom logos, colors, and usage tracking.
@IfeanyiArinze10 · X
What does What makes it unique?

Connect your Postgres or Supabase database and receive AI-powered alerts when your data drifts
@franciscobuilds · X
1. Building Tabkeel, an AI-powered analytics platform for SaaS products 2. For founders and teams who want to actually understand and act on their data 3.

All-in-one workspace for project management, documentation, and test management.
@klorityx · X
One workspace for project management, documentation, test management & CRM. Enterprise features without enterprise pricing.

Test your product idea against AI-simulated focus groups matched to your target audience.
@product_luke · X
Free roast, no signup. Reply with your landing page URL. I'll run it through -- 50 AI-simulated customers from YOUR target audience -- and post the verdict here: → score /100 → top objections → the single most brutal verbatim quote First 10 replies. Fair warning: 15% of the panel are hard rejectors. They don't do mercy.

Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams

Upload handwritten exam answers to get instant AI grading and feedback.
Xaminix
AI Powered Answer Evaluation for CA/CS/CMA

Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -

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.

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

Practice NEET Biology with AI-powered mock tests and spaced repetition flashcards.
@devjedi404 · X
I'm currently working on PrepPilot an AI-powered platform for NEET preparation. Added around 8k questions in total. The entire process was tiring but learnt a lot. For now you can access PrepPilot here :

Hosted JSON database for storing agent memory with REST and MCP connectivity
@StuSim · X
hey Adam, I run , lightweight agent memory