Finance & Business2 weeks ago
AskLedger — Cut your AI spend, and prove the savings are real
Scan your AI bills to find waste and prove savings with tamper-evident evidence.
Open source
@askrashidkhan · X
The full gallery
Tech stack
60 projects
Scan your AI bills to find waste and prove savings with tamper-evident evidence.
@askrashidkhan · X
Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X
Trading signals for the AI & Robotics sector with published track record.
@TradingResXYZ · X
Material catalyst events scored by our research pipeline — every call logged on issue, auto-closed on its holding period, and benchmarked against the sector ETF. The track record is the pitch.
Compare candidates on evidence-cited dimensions and generate hiring documents.
facundobon · HN
Verdict – AI hiring verdicts where every score cites the CV verbatim
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.
Upload AI conversations, get an evidence-backed report.
@StilThinkng · X
Tired of repeating the same context across ChatGPT, Claude, and Grok? SoulBots builds a privacy-first memory that grows with you across AI. Looking for early testers.
Answer market research questions using AI analysis of social media data with evidence-linked insights.
Dgeloe4-yb · GitHub
market-pilot Evidence-grounded market research prototype with traceable AI workflows.
AI stock prediction and signal generator with backtesting and paper trading.
@useStockAI · X
Query spreadsheets and datasets with plain-English questions to generate instant 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
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 US stocks by watching AI investment personas debate each company.
hobbescotch · HN
Noema – AI personas debate US listed stocks
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!