Real problems people complain about online, pulled every morning and scored out of 100. Build, validate, or skip. How scoring works
Small businesses, especially in emerging markets, struggle with manual bookkeeping and can't afford complex accounting software or professional services.
YC Graveyard4y agoToolFinance
Educators, publishers, and content moderators need a simple tool to detect if text was written by ChatGPT or similar AI models. Existing detectors are unreliable, paywalled, or fragmented across platforms. [Google Search suggestion]
Google Trends5mo agoToolEducationUS
Video creators struggle to monetize content effectively, especially with ads that are relevant to specific moments in their videos.
YC Graveyard15y agoToolMedia
X users are annoyed by engagement farming accounts and want a way to mass block them instead of one-by-one.
X6mo agoToolProductivity
No app exists to let users send messages to themselves that appear as coming from someone else, for sharing random thoughts or self-motivation without it looking self-sent.
X6mo agoToolPsychology
Developers merge PRs but documentation like READMEs isn't updated to reflect changes, forcing LLM agents to scan entire codebases inefficiently instead of quick-reference docs.
X6mo agoToolDev
Project Title: Micro-Task Platform Project Overview Build a web platform where clients can create online tasks and workers can complete them to earn money. Workers submit proof, tasks are verified automatically or manually, and earnings are credited to their wallet. The platform must support crypto withdrawals and an admin management system. User Roles 1. Worker - Create account and login - View available tasks - Complete tasks and submit proof (link or screenshot) - Track earnings and task history - Request withdrawals 2. Client - Create campaigns/tasks - Set reward amount per task - Define number of workers required - Track task completion statistics - Pay for campaigns 3. Admin - Approve or reject task submissions - Manage users - Manage campaigns - Process withdrawals - Monitor platform activity Core Features User System - Registration and login - Email verification - User dashboard - Wallet balance display Task System - Task listing page - Task instructions page - Proof submission (URL or screenshot upload) - Task status tracking (pending / approved / rejected) Verification System - Automatic link validation for tasks when possible - Manual admin approval for complex tasks Wallet System - User balance management - Earnings credited after task approval - Withdrawal request system Payments - Crypto payments (USDT, BTC, ETH) - Admin manual approval for withdrawals Admin Dashboard - View all users - Manage tasks - Approve submissions - Approve withdrawals - Platform analytics Security & Anti-Fraud - Duplicate submission detection - Rate limiting for tasks - IP monitoring for multiple accounts Technical Requirements Frontend Responsive web interface. Backend API based architecture. Database Store users, tasks, submissions, and transactions. Optional Features (Phase 2) - Automated verification via social platform APIs - Referral system - Reputation score for workers - Automated crypto payouts - Real-time notifications
Reddit6mo agoToolDev
We run a small insurance agency and phones are the biggest time suck in the office. Figured we'd try one of those call answering services to handle the easy stuff while we focus on quotes and renewals. Three weeks in it's a mess. The operators keep mixing up policy numbers and claim numbers in the notes they send us, carrier names are misspelled half the time, and if a client asks anything slightly specific they just transfer the call right back to us. So we're paying for a service that handles maybe 20% of calls on its own and creates cleanup work for the rest. One call really got me. Commercial client called about adding a location to their bop. Notes came back saying "customer wants to add a body shop to their policy." I still don't understand how you get there from what was actually said. Another time someone called about their personal umbrella policy and the only note was "customer has question about umbrella insurance." Zero context, zero details, so we had to call the client back and redo the whole conversation. The frustrating part is the terminology isn't even that complicated once you learn it but these generic services clearly don't train their people on any of it. I'm pulling the plug this week. Been poking around at some of the industry specific options, saw a few names come up like sonant and a couple others that are supposedly trained on insurance calls specifically but honestly at this point I'm skeptical anything that isn't our own staff will get it right. Anyone else dealt with this when trying to automate or outsource something in a specialized field? feels like the generic tools just don't cut it when there's real domain knowledge involved.
Reddit6mo agoToolProductivity
ProblemHunt7mo agoToolProductivity
ProblemHunt8mo agoToolProductivity
ProblemHunt8mo agoToolFreelance
ProblemHunt10mo agoToolImmigration
ProblemHunt10mo agoToolAI
Professionals in LatAm lack affordable, cohort-based learning opportunities with relevant local context and peer networks.
YC Graveyard5y agoToolEducation
Hi HN - long-time lurker (since 2012!), first time poster.Pizza Bot is a self-hosted desktop app for Mac, Windows, and Linux that runs AI agents in the background and exposes them through an email-like UI. Finished work shows up in Unread, and anything waiting on your approval shows up in Action. It's Apache 2.0-licensed, there's no signup and no telemetry, and you bring your own model provider: Anthropic, Amazon Bedrock, Google Gemini, OpenAI, OpenRouter, or a local model through Ollama. There are builds on the releases page, or you can run it from source.Pizza Bot started as an internal passion project I worked on with a small team at Amazon.The whole thing came out of my frustration at having to manually log CRM activities through a browser form. I built a simple REST API called "JoeBot" that connected to my authenticated browser session over CDP and filled out the form for me using Playwright. Then I hacked up a quick Obsidian plugin so I could trigger it from my local notes (no AI and no MCP servers involved).This caught on quickly. My fellow AWS Solutions Architect Igor Fil joined up with me, and we rebranded the project as "Pizza Bot," named after Amazon's two-pizza teams. We started seeing what other automations we could build. We found a GraphQL API we could query and hacked up some "recipes" to pull data out of the CRM to help with meeting prep. That worked great, and it was right around the time MCP servers seemed to be taking off, so we decided to expose Pizza Bot as an MCP server instead, so it would be available to AI tools through natural language.This was a decent solution for technical users, but the Account Managers who live inside our CRM system wanted something too. We decided to rebuild Pizza Bot as an Electron desktop app modeled after an email inbox, so it would be familiar to non-technical users and would run on both Mac and Windows. We also bundled internal MCP servers as OCI images and hosted the
Hacker News16h agoToolAI
Hey HN,I always had the problem that building HTML pages is really simple now, but trying to save data required hosting it somewhere, and sharing it afterwards was not easy. Over the last few months, I've been building an app called Capsule (it’s also the file extension name) written in Rust with Tauri 2.0 that allows packing an HTML app and its data into a single SQLite file.The HTML file and any related assets are directly embedded in the database. User data can either be saved as a localStorage key/value store or via a MongoDB-inspired collections API as documents, saved in a table in the file. You can also save other assets, like PDF files or images, directly in the database to keep different documents together. All data can be easily exported to CSV or JSON if needed.Privacy and security were a big priority for me, so documents cannot do anything out of the box. They don’t have direct access to the file system and they require permission to access the internet. The permission model is still something I’m working to improve. Capsule documents can also use local or remote AI models for document specific AI features.One downside with this approach is that multiple people working on it will create different copies. To make it possible to merge different copies of the same file, each data entry has a unique UUID and timestamp.I’m planning to open up the file format specification for the 1.0 version of the app so other apps can read or write Capsule files.You can try it out in the web preview at https://withcapsule.app/preview with pre-built templates or use any AI provider of your choice to create a custom, Capsule-optimized app by using the following prompt:"Please read the app wizard instructions at https://withcapsule.app/prompt.txt and help me design an app.“I’m still working on the file format but there are migrations for each new version, so data should never be lost when using newer versions of the app in the futur
Hacker News17h agoToolAI
Hacker News16h agoToolOther
Hacker News17h agoToolProductivity