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BloomPilot – AI-Powered Overlay for Bloomberg Terminal

Hacker News

BloomPilot – AI-Powered Overlay for Bloomberg Terminal

Hi HN, We just launched BloomPilot — a minimal AI-powered overlay designed for Bloomberg Terminal users. It's built for financial professionals who want faster GPT-enhanced insights, a lightweight terminal interface, and modern tooling on top of the Bloomberg infrastructure they already use. Key Features: GPT-4o analysis integrated into Bloomberg-style command line Built-in fallbacks (Alpha Vantage, Polygon, Finnhub) if Bloomberg API is unavailable One-time payment of 299 USDC via Phantom wallet (Solana) Terminal-style UI with keyboard-first design and command history Real-time data streaming, AI formatting, wallet-based access control It’s designed specifically for professional traders, analysts, and fintech builders who spend their day in BBG and want a smarter way to interact with it. We’re focused on performance, authenticity (BBG UI), and simplicity — no freemium models, no monthly billing, and no fluff. Would love your thoughts, questions, or ideas for features.

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, models · Missing: mac, agents, macos
87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: interface, builder, users · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, monthly, users · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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