Search songs across platforms in one UI and auto-fallback to a playable source, with no single-platform lock-in
Problem
Listeners often hit membership or licensing restrictions that block a song on their usual platform, forcing them to switch between NetEase, QQ Music, Kugou and others to manually find an alternative. They also want playlists and history stored locally without creating an account.
Solution
A desktop aggregated player: one search shows sources and quality labels across platforms; when a track is restricted, it automatically matches a playable version on another platform by title, artist and duration without interrupting playback; playlists and recent plays stay local.
Reliably move files and artifacts between AI agents, with an auditable send/receive log
Problem
People running multi-agent workflows find that generated images, PDFs and other artifacts get dumped on a local drive or shared as links that often don't open, making them hard to find later. When two agents need to send a file to each other, there is no single place to see who sent what and whether it arrived.
Solution
A lightweight file mailbox service: each agent gets its own inbox address, uploaded artifacts get permanent links with metadata, agents can deliver files to each other by address, and a web dashboard shows send/receive history per session or agent with download.
Decide if and how to add paid tiers to your free launch board
Problem
Many indie developers run free launch boards or directories, then want to add paid options but aren't sure users will pay, what price fits, or how to structure free vs paid perks. Some add paid tiers after a free month with zero confidence.
Solution
A lightweight analytics tool that connects to your launch board's view and click data, generates willingness-to-pay signal reports, recommends pricing tiers and perk gaps, and provides A/B test templates.
Multi-region connectivity diagnosis showing exactly where it breaks
Problem
Self-hosted NAS, website, and game server owners often hear 'it won't open on my end' but can't reproduce it locally. They lack external multi-location, segment-level timing diagnostics, left guessing whether it's DNS, port, or firewall.
Solution
Enter a domain or IP+port and probe from multiple global nodes simultaneously, showing DNS→TCP→TLS→TTFB→download segment timing bars with failure reasons and next-step troubleshooting hints.
Unified management of AI agent-generated files and cross-agent transfers
Problem
When AI coding agents generate artifacts like images or PDFs, they often save to a local path and return a link that may not work, making files hard to track. Worse, agents can't reliably send files to each other, and users lose track of what went where.
Solution
A lightweight local file inbox where agent-generated artifacts are automatically collected into a unified panel with stable accessible links, plus a simple protocol for agents to exchange files. Users can search, preview, download, and clean up.
Free in-browser removal of silences and filler words, zero upload
Problem
Amateur podcasters and video creators need to cut silences and filler words, but existing tools are paid, require cloud uploads, or demand installation. Many are privacy-sensitive and don't want unpublished media on third-party servers.
Solution
A fully local browser tool that detects and removes silence segments and filler words from video. Upload, auto-detect, trim, and export—no backend API, no account, works in Chrome/Edge.
Menu bar device manager for Android developers using AI agents
Problem
As AI coding agents become the primary interface, developers no longer open Android Studio but still need to connect, disconnect, and manage multiple devices frequently. Typing adb commands or launching the IDE breaks flow, especially while an agent is mid-task.
Solution
A macOS menu bar app that shows connected Android devices in real time, supports wireless pairing via code, one-click connect/disconnect, and keeps approved devices attached. Everything from the menu bar, no IDE needed.
Let coding agents look up local manpages and command help instead of guessing flags
Problem
Someone built an MCP server specifically to expose manpages, which shows developers hit a wall on argument details when agents write shell commands; models hallucinate flags and the resulting commands fail or misbehave. The manuals are already on the machine, but there is no ready channel for agents to read them.
Solution
A locally running MCP server that indexes system manpages, `--help` output, and common CLI tool usage into searchable entries. Agents query by command, subcommand, or flag and get exact snippets; ships with a one-line installer for macOS and major Linux distros and can cache distro-specific docs.
Detect when the MCP servers and tool definitions your agent relies on silently change
Problem
A builder shipped a tool that watches when an MCP server changes what it tells your agent, a sign people have been burned: a server quietly updates descriptions or outputs, agent behavior shifts, and nobody knows which day or which field changed, so debugging is guesswork. This is distinct from model retirement; it targets silent changes at the tool-description layer.
Solution
Users register the MCP servers and tools they connect. The product periodically probes exposed tool definitions, descriptions, and sample outputs, diffs them against stored snapshots, produces readable change reports with notifications, and flags which agent flows are likely affected.
Export years of AI chat history to your own disk before the platform changes or vanishes
Problem
Character.AI entered bankruptcy with an asset auction pending; its built-in export takes three to four weeks and download links expire after seven days, leaving users with years of conversations scrambling for a way to keep a copy. Many users fear accumulated chat data could be wiped by a platform decision yet have no handy local export tool.
Solution
A browser extension that intercepts paginated requests on the user's chat tab, captures characters, messages, and timestamps, stores progressively in local IndexedDB, and exports to Markdown, JSON, and a standard conversation format with dedupe and integrity checks. Resumable and never uploads to a server.
Subscribe to the AI models and agents you depend on and get alerted the day they change
Problem
One developer had a product feature down for 48 hours because Anthropic retired Claude 3 Haiku, and in another case an API parameter silently started returning errors. Models and agents change every week across many vendors; manually watching a dozen changelogs does not scale, and damage is already done by the time users report bugs.
Solution
Users select the models, agents, and API parameters they actually use. The product aggregates vendor changelogs, deprecation notices, and status pages into one timeline, detects retirements, deprecations, and parameter changes, matches them to subscriptions, and pushes alerts via email, Slack, or webhook with suggested replacements and a migration checklist.
Turn lecture recordings into structured notes and spaced-repetition flashcards
Problem
Students and self-learners record lectures, then spend hours turning them into Obsidian notes and hand-splitting review cards; one author already built such a tool for themselves, showing real demand but little willingness to build it from scratch.
Solution
Upload lecture audio or video, get automatic transcription with topic segmentation, and receive Obsidian-formatted Markdown notes plus Q&A flashcards with tags and source timestamps, ready to drop into the vault.
Surface genuinely new open-source projects and their earliest users for maintainers
Problem
GitHub Trending is homogeneous and systematically spotting emerging open-source projects is hard; some authors already scrape GitHub plus HN, Reddit and X mentions to do it, but ordinary maintainers lack the time and plumbing to build that pipeline.
Solution
A subscription radar that aggregates fresh GitHub repos with mentions across HN and Reddit, flags projects whose discussion is spiking while stars are still low, and adds short summaries and active contributor lists so authors can decide whom to watch, partner with, or promote.
Give TikTok Shop sellers the real landed cost and profit per SKU
Problem
TikTok Shop sellers juggle purchase price, first-mile freight, platform commission, creator commissions, returns and storage—and still can't tell whether a given SKU makes money; existing tools report gross numbers, so sellers stitch conclusions together in spreadsheets.
Solution
After importing orders and purchase data, the tool allocates freight, platform fees, creator splits and return losses per SKU, computes true landed cost and unit margin, and sends weekly alerts on money-losing SKUs with pricing suggestions.
Auto-clear human-verification walls and cache passes for readers who keep getting blocked
Problem
Click a link from HN and every other site demands a puzzle, a checkbox, or worse: Cloudflare gates half the pages, other sites run browser-side proof-of-work, and Google makes you pick crosswalks—reading gets interrupted over and over.
Solution
A browser extension that detects human-verification pages, automatically attempts passive checks such as managed challenges, and caches the resulting pass cookies per site so repeat visits sail through; interactive captchas get an unobtrusive side prompt instead of a blocking modal.
Turn your Claude and Codex conversations into backup-able, shareable team assets
Problem
Developers spend their whole day talking to coding agents, and designs and decisions live inside those sessions—yet sessions sit on one machine, have no backups, and are hard to share; one team burned a hundred billion tokens over three months only to find the context was never preserved.
Solution
A local-first session archiver that captures conversation logs from coding agents, organizes them into a searchable project library, and exports read-only share links or Markdown so teams can reuse past reasoning.
Let a group of friends/colleagues plan a trip everyone accepts without revealing individual budgets.
Problem
When organizing group trips, budgets are sensitive—some people won't disclose their上限, causing endless back-and-forth on itinerary and lodging. Existing trip planners either require everyone to share budgets or ignore budget constraints entirely.
Solution
Members anonymously submit budget ranges and preferences; the system merges constraints in the background to generate feasible destinations, lodging, and itineraries, showing only matching results without exposing anyone's specific budget, with voting and iteration.
Configure MCP servers for Cursor, Claude Desktop, and Windsurf with one CLI command, eliminating JSON errors and PATH crashes.
Problem
Developers adding Model Context Protocol servers to Cursor, Claude Desktop, and Windsurf constantly hit hand-written JSON syntax errors and missing $PATH binaries. The setup is tedious and error-prone, a pain point already visible in the community with early tools emerging.
Solution
A CLI plus lightweight registry that installs and configures popular MCP servers with one command, auto-detecting dependencies and paths, validating JSON, writing the right client config, and supporting update/uninstall, reducing configuration friction to near zero.
Generate standalone booking pages for small beauty/nail/hair studios in LatAm, automating WhatsApp and paper-note scheduling.
Problem
Many small beauty, nail, hair, and lash studios in LatAm run entirely on WhatsApp messages and paper notebooks. Clients want self-serve booking with email/WhatsApp reminders, but existing software targets large salons or is too expensive and clunky for tiny shops.
Solution
Each business gets a dedicated booking page (name.tulemu.com) where clients self-book slots and receive email/WhatsApp reminders; a backend supports service catalog, staff scheduling, and basic client records, replacing WhatsApp + pen and paper with the simplest possible flow.