Productivity1 month ago
Make every decision retrievable. | Decision Log
Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X
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60 projects
Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X
Business operations platform for managing sales, inventory, accounting, and customers with WhatsApp and storefront ordering.
@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
Lightweight, high-performance logging system for developers.
@CodeIsmySpotter · X
I am building a lightweight logger for developers:
Monitor a live AI trading agent's trades and reasoning in real time with full transparency.
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,
Log your pre- and post-market trading psychology and track discipline across the week.
@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
Make complex decisions with a free weighted decision matrix in your browser.
@bjoern_live · X
Make complex decisions easy.
Log baseball games and ballparks visited to track memories and plan future trips.
@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.
AI-powered logbook app for SIWES students to refine daily notes and generate training plans from curriculum.
@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
Log fuel fill-ups to track your consumption and spending patterns.
@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:
Trading journal to log trades and track equity curves, win streaks, and performance analytics.
@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:
Trace, replay, and verify AI agent decisions with signed audit trails.
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