
FN2 | Autonomous AI Research Agents for Markets
AI research agents that analyze public markets, deliver earnings alerts, and summarize SEC filings with cited sources.
oceanplexian · HN
I Built OpenClaw for Stocks
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18 projects

AI research agents that analyze public markets, deliver earnings alerts, and summarize SEC filings with cited sources.
oceanplexian · HN
I Built OpenClaw for Stocks

Wurk.Flow unifies schema design, a live SQL workspace, column-level lineage, and source-to-target mapping in one local-first modeling IDE — in your browser or on your desktop. Free
@WurkHaus · X
What happens when you got told no to a 3k quote for a data tool and spend a year building one instead.

Visualize SQL schemas as ER diagrams and review AI-suggested fixes before applying them.
@erd_factory · X
Paste your CREATE TABLE statements. Get an instant ER map, flagged issues, and AI-proposed fixes — reviewed as a diff before anything touches your schema.

Detects churn risk by analyzing customer health across product, billing, and CRM data.
@NicolaTowse_ · X
Hey there, just dropped a follow! I'm building a SaaS product which helps fintech SaaS to protect their revenue and reduce churn:

AI agents that automate your business's finance, payroll, and HR operations in the background.
@RostaHQ · X
SaaS: Building in public. Follow our journey on X.

Query spreadsheets and datasets with natural language questions to instantly generate answers and reports.
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

Automate your B2B revenue execution by unifying marketing, sales, and customer data.
@k_mansourizadeh · X
Curious to learn more, building

Analyze chess games with natural language explanations using an open-source browser tool with no login required.
u/ICARUS_2X · Reddit
Spent 7 months building a FOSS platform for natural-language chess analytics (No LLM) Hey guys, I've released CHONSE2, an open-source game review platform that offers unlimited analysis and move explanations without using hallucination-prone LLMs, running entirely in your browser. chonse2.com But Lichess is free, so why use this? Some have asked. It expands on Lichess's feature set a few different ways: Full analysis (accuracy/elo estimations/eval graphs, etc) requir

AI-powered betting analysis and simulation tool for Swedish lottery games with odds analysis and system reduction.
@MarcusNilsson83 · X
Check out what I just built with Lovable!

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

Migrate NoSQL databases to SQL with automated schema mapping and live change replication.
@heyayankai · X
🚀 Building NoSQLSync. It helps developers migrate NoSQL databases to SQL without writing custom migration scripts. Always happy to connect with fellow builders and AI enthusiasts.

Local-first cognitive runtime with live AST graphs, runs in your browser with no data sharing.
@fortsignal1 · X