
Make every decision retrievable. | Decision Log
为人类和AI代理记录和检索决策,追踪完整来源。
@burn2delete · X
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为人类和AI代理记录和检索决策,追踪完整来源。
@burn2delete · X

LogHive 是一个一体化业务平台,用于管理销售、库存、会计,客户可通过 WhatsApp 下单。
@wings_davis · X
I launched my first SaaS - LogHive. Sales, stock, purchasing, accounting, customers, and business insight in one secure workspace. Customers check availability, price, and place orders on WhatsApp. Also includes a storefront to allow customers to order.

Deciding is the part you can’t delegate. Capture from anywhere, including inside your assistant, and keep one list on web, Windows, Mac, and iPhone.
u/Mean-Papaya3532 · Reddit
Done Bear - a local-first task manager with MCP, an API and a CLI Done Bear is a task manager with the five GTD lists, Inbox through Someday, and not much else. https://donebear.com Your AI assistant can use it. A hosted MCP server lets Claude or ChatGPT read your tasks, add them and tick them off, with your permission and nothing running locally. There's a GraphQL API and a CLI too, if you'd rather script it. It runs on the web, Mac, Windows, Linux and iPhone. Tasks live on your device

为开发者设计的轻量级高性能日志系统。
@CodeIsmySpotter · X
I am building a lightweight logger for developers:

实时监控AI交易代理的交易和决策推理,完全透明。
u/Much-Section-7680 · Reddit
5 weeks live, 31 followers, 8 website clicks, 0 organic signups. I audited my own marketing today and it was brutal. I spent today auditing my own marketing instead of building, and the numbers were worse than I thought. Posting them because I read these threads for exactly this and almost nobody publishes the bad version. What I built: an LLM agent that runs your trading strategy on your own exchange account and keys. It wakes on a schedule and on price triggers, reasons in plain language,

记录开盘和收盘时的交易心理,追踪全周交易纪律。
@nicey8989 · X
You no longer have to log those game plans and check-ins internally; keep track of them. Trading Psychology Check out what I just built with Lovable! #Trading #Daytrader

在浏览器中使用免费加权决策矩阵做出复杂决策。
@bjoern_live · X
Make complex decisions easy.

记录棒球比赛和访问过的球场,追踪回忆并规划未来旅行。
@GamedayChasers · X
I’m building GameDayChasers, a live web app for baseball fans to log games, track ballparks, plan trips, and keep the details that make a game worth remembering.

为 SIWES 学生打造的 AI 日志应用,精化笔记并根据课程生成培训计划。
@Osasgentech · X
Just shipped Logsu, an AI logbook app for Nigerian SIWES students. Write your daily notes and the AI refines them. Paste your curriculum and it builds your full training plan. Free: #buildinpublic #Nigeria #SIWES

通过TrackMyTank记录加油来追踪油耗和支出。
@GururajCC · X
The first version was honestly built just because we wanted to answer one question: "Is my vehicle actually becoming more expensive to run?" Turns out the answer is much easier when you have the data. Link:

记录交易、追踪权益曲线和性能的交易日志应用。
@NimraWeb3 · X
So I vibe coded my own with Lovable TradeBook. Log trades w/ session, killzone, model, grade, R:R + screenshots, track multiple accounts, get a real dashboard (equity curve, win streaks, pair/session breakdowns). Demo: GitHub:

Etch: 追踪、重放和验证AI代理的决策,提供签名审计线索。
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in