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Voltfin Crypto – Crypto AI Agents

Hacker News

Voltfin Crypto – Crypto AI Agents

Recently, AI, LLM, AI agents, all these buzzwords are spreading everywhere, triggered tons of frenzy and enthusiasm. However, AI-related things link a little too much to giant company and drifted away from common people. Personally, AI is a new kind of steam engine, it will do the tedious and heavy work which human beings don’t want or hard to do. Here our team introduced a product called Voltfin Crypto AI Agents. the goal is to let this product be the copilot during anyone's Web3 journey. So you must have the question: Why Crypto? Because (1) It fits. open network has the freedom of data, information which is a natural oasis for AI agents. (2) It helps. Until today Web3 is still like a Wild West, where we need our own copilots to help. In this industry, like people always say, don’t trust, verify. (3) It is promising. We believe in that Web3 is the future. Product demo is ready. Hope it is self-explainable when you click the link and start using the app. You can create Agent by directly typing in the Add Agent button. We created 1 agent already in the app, it is going to write the technical analytics blog for Bitcoin every day. Feel free to add more agents, like writing technical blog for Ethereum, Solana, etc. The future for this app is promising and full of imagination and ambition, like we can create an agent to track smart money and send alerts if any smart money make a move, or we can track some whales weird transaction. Or verify anything, like there is a crypto project kept sending information and you are not sure whether it is scam, or there is a contract address someone told you to transfer to but you don’t have time to read through the smart contract code to verify. No worries, there will be verification Voltfin Crypto AI Agent to read it through for you and make decision. Not to mention the trading alerts, chain health, on-chain metrics analytics and more and more and more… Technology side, we prefer to create a mobile-native, cloud-native serverless app. Frontend is NextJS, TailwindCSS. Serverless storage in Vercel with the Edge function send AI request. Backend data handling in a cron schedule, once in the future there is realtime request, like alert or tracks, will introduce web socket and Flink. Product is still in very early stage, we got a demo app now. Any feedback, suggestion, critic is much welcome and appreciated. Send email to zinnober.haus@gmail.com or leave comments below. Our team is working on a more formal feedback system and platform. Stay tuned. App is in regular update mode, stay tuned as well. Thank you! (Guaranteed, this blog has been 0% AI polished. I typed it word by word, so there must have some grammar errors. Why not use AI to make this article error-free? Because our team think this first article is important and as human, we embrace errors, which makes us.)

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, new · Missing: mac, macos, cursor
91%91% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting
83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, trading, way · Missing: mobile apps, ios, entrepreneurs
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
24%24% predicted probability of success on AppSumo, 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
22%22% 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
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: web3, crypto, introduce · Missing: chat, cryptocurrency, make money
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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