Finance & Business2 weeks ago
ETH 10000
Track ETH strategy signals, historical performance, and data insights for investment research.
@eth10000_lei · X
我相信ETH，为此还做了一个
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Track ETH strategy signals, historical performance, and data insights for investment research.
@eth10000_lei · X
我相信ETH，为此还做了一个
Make forecasts about future events and track accuracy with AI-powered predictions.
ddp26 · HN
FutureSearch, AI forecasting you can verify
Interactive lessons in math, programming, data analysis, AI, and science.
@BruceWayne95290 · X
just leaving a comment cause its 1am and im vibe coding, will come back tomorrow (on an alt account for open claw fyi) I've worked with the following brands: vytadose, bajabeachco, jaje health, eric javits, 4knines, welleco, coatdefence
Spreadsheet tool where each column is an AI agent that automates research, extraction, and data processing.
u/Capital-Top3289 · Reddit
I built a spreadsheet where every column is an AI agent (research, scrape, or API) — looking for feedback I got tired of pasting the same 50 company names into ChatGPT one by one, then copying websites / CEOs / LinkedIn URLs back into Excel. So I built MySheets: it looks like a spreadsheet, but each column can be: an AI prompt that runs row by row a web scrape an HTTP API call Columns can read previous cells, so you chain: name → website → product summary → CEO → LinkedIn. You
AI research agents that analyze public markets, deliver earnings alerts, and summarize SEC filings with cited sources.
oceanplexian · HN
I Built OpenClaw for Stocks
Analyze websites' tech stacks to see frameworks, hosting, tools, and detect AI-built sites.
@stackscopedev · X
Track AI industry trends and intelligence with evidence-backed data updates.
barretlee · GitHub
agent-pulse Evidence-backed AI industry intelligence — trends, source updates, daily data refreshes, and weekly decision briefs.
Build data dashboards from multiple datasources with automated transforms and modeling.
u/Lopsided_Working2023 · Reddit
I built a product that's like Lovable, but for data apps Hi all, I started a personal project just out of curiosity. The goal was to build an app that: Ingests from datasources to our platform Transforms Models Creates dashboards or other data products Refreshes the whole thing on picked schedule From a single, or a few, user prompts. The idea arose because I've noticed that agents are making LEAPS of progress at data engineering and analytics in a short time
Check academic papers for AI usage and originality by analyzing patterns and sources.
@stejas809 · X
Analyze AI agent sessions to understand user behavior and debug issues.
screm · HN
Product analytics (and evals) for agent sessions on your MCP
Upload customer data to identify churn risk and get retention strategies.
u/ajaysurya_ · Reddit
Looking for feedback Built Bayeso after realizing most churn prediction tools ignore small businesses. Looking for feedback. hey everyone, i've been working on bayeso ( https://bayeso.tech ), an ai platform built for businesses that don't have massive datasets. while building it, i kept running into the same problem. almost every churn prediction solution is designed for companies with thousands or even millions of customer records. if you're a small business with a few hundred customer
Search, summarize, and create content from academic research papers using AI agents.
colibris · HN
AI Assistant that verifies its own sources