A visual map for skiers to track and showcase every slope they've ridden
Problem
Skiers want a simple and intuitive way to track their ski journey. Existing ski tracking apps are either feature-bloated or fail to precisely record each slope. Someone built their own app centered on a living map after not finding a suitable tool.
Solution
A mobile-first web app with interactive maps of major ski resorts, letting users mark slopes they've ridden and generate a personal ski footprint map. Supports friend sharing and leaderboards to encourage exploration.
A lightweight web analytics tool for indie developers and small e-commerce that focuses only on revenue sources
Problem
Existing analytics tools like Google Analytics and Plausible are either too complex or focus on vanity metrics like pageviews. Indie developers want to know which pages, channels, or content actually drive revenue, not sift through irrelevant data. Someone built their own tool because they couldn't find one that fit.
Solution
A minimalist web analytics tool centered on tracking revenue-related conversion events (e.g., purchases, subscriptions, signups) and showing revenue sources (channels, pages, campaigns). Users embed a single script and see a real-time dashboard with revenue, ignoring irrelevant clicks and pageviews.
Describe a file in plain English on your Mac, and a local AI model finds it without uploading
Problem
Developers and other Mac users often forget file locations and resort to fuzzy memory while digging through Finder. Existing search tools either rely on exact filename matches or require cloud uploads, compromising privacy and speed. Someone tried with a local small model, but there's still room to improve accuracy and usability.
Solution
A Mac menu bar app where users type a natural language description (e.g., 'the spreadsheet about budget modified last week'), and a locally running lightweight model parses the intent and locates files. Results appear instantly, with options to open, preview, or copy the path. All processing stays local, no internet required.
Helps coding agents remember project pitfalls across sessions and retrieve experience on demand
Problem
Developers using Codex and Claude Code find that agents don't remember. Root causes and solutions from a full afternoon of debugging last week are forgotten in a new session, forcing the agent to guess again and even re-propose rejected solutions. Writing notes into AGENTS.md bloats the file, and full injection each session drowns out the relevant bits. Client-native memory is opaque and uncontrollable.
Solution
A lightweight local memory store where the agent automatically drafts candidate lessons when a solution is decided or a root cause is found, and the user confirms what to keep. In new sessions, the agent retrieves relevant lessons on demand based on context instead of loading everything. Entries support tags, search, and export, and integrate with multiple agent clients.
A configurable social media detox layer for indie developers that hides profanity, likes, Reels, and ads
Problem
Indie developers and content creators often get distracted by social media recommendation feeds, like counts, and ads. Someone built a plugin called Off to hide these elements, proving the demand is real. But everyone defines 'distraction' differently, and generic blockers fail to meet personalized filtering needs.
Solution
A configurable browser extension or userscript that lets users hide specific elements (profanity, likes, short-video entries, ad slots) on chosen platforms via simple rule subscriptions. Offers community-shared rule sets that can be imported with one click or customized with CSS/XPath selectors.
Find the niches and channels still willing to pay humans in the AI era
Problem
People are asking whether freelancing is dead after AI: can you still get consistent clients at decent rates, how do you convince businesses you beat AI, and which industries still hire humans. Cold email, LinkedIn, Upwork, and referrals all get mentioned, but nobody knows which channel still works reliably.
Solution
A positioning and acquisition diagnostic tool that takes a freelancer's skills, industry, and past work, recommends AI-resistant niche service directions, and gives channel lists, outreach templates, and case-packaging advice. It tracks which channels actually convert and narrows the playbook over time.
Rent out idle AI subscription credits by the hour to people who need them
Problem
Someone with several Plus accounts says most are 5-hour limited and the quota goes unused while sleeping or on holiday, which feels wasteful. Meanwhile others hit rate limits when they need a burst. Idle and scarce credits coexist, but matching and per-usage billing are entirely manual.
Solution
A credit matching and billing platform where lenders list available windows and quota, borrowers pay per usage, and the system meters, bills, settles, and risk-controls automatically. Lenders set floor price and max exposure; borrowers plug into existing workflows.
Strip timestamps, edit markers, and weird formatting on paste
Problem
Copying between Slack, Claude, GPT, and Gmail constantly requires manual cleanup: removing timestamps, deleting Slack's '(edited)', converting API fields to inline code, and killing weird highlighting. Prompting AI for formatting rules is inconsistent and forgets the rules the next day.
Solution
A clipboard middle layer that cleans text deterministically before paste: strips timestamps, removes edit markers, converts fields to inline code, normalizes quotes and spaces. Rules are deterministic, configurable, importable, and can be chained per target app.
Scan any site for AI readability and catch fake llms.txt files
Problem
Someone scanned 1,000 Chinese sites and found only 3% had a real /llms.txt. 164 returned HTTP 200 but were just HTML shells, 412 were 404, and the rest were blocked or timed out. Site owners think they are AI-ready, but AI crawlers get nothing but shells.
Solution
Enter a domain and get an automatic report on /llms.txt presence, reachability from major AI crawler user agents, page text quality, and structured data quality, with a score and fix suggestions. Scheduled rescans and change alerts keep the site honest over time.
Auto-detect burned-in vs player subtitles and switch without duplicates
Problem
Many YouTube videos already have subtitles burned into the frame, so turning on the platform subtitles just stacks two layers. Other videos have burned-in subtitles in a different language, so both layers are useful but obscure each other. Viewers end up toggling subtitles dozens of times per video.
Solution
A browser extension that on-device detects whether the current frame already contains hardcoded subtitles and in what language, then automatically toggles or switches the soft subtitle track based on user rules. Per-channel preferences, a one-key override, and no video frames leaving the device.
A lightweight web tool for slicing, assembling, and directly printing 3D models from a phone
Problem
3D printing enthusiasts sometimes need to quickly slice and print models without a computer, but mainstream slicers are desktop-only with poor or missing mobile experiences. Existing web slicers often require large file uploads, depend on CORS proxies, and lack TinkerCAD-style simple modeling and direct printing, resulting in a fragmented workflow.
Solution
Runs a slicing engine in the browser via WebAssembly, letting users open models on their phone, do simple CSG modeling, slice, assemble, and send to supported network printers. An built-in proxy solves cross-origin issues while retaining full desktop-class features, enabling an end-to-end modeling-to-printing flow without installing software.
Helps indie creators and newsletter writers quickly match for cross-promotions with no signup required
Problem
Indie developers and small newsletter writers often need to cross-promote each other's products to grow audiences, but finding matching partners is time-consuming: existing platforms either require cumbersome signups or lack transparency, wasting time on back-and-forth instead of creating. Concerns about fake data and unverifiable promo results are also common.
Solution
A no-signup, minimalist deal board: post your newsletter/product audience stats and desired cross-promo terms; the system automatically matches potential partners based on audience size, niche, and overlap. Both parties can exchange promo assets, confirm schedules, and track clicks and conversions on the platform, reducing communication overhead.
Provides TLA+-style invariant checks against recorded AI agent runs for auditability
Problem
Developers running AI agents in production often cannot confirm whether an agent violated key invariants under retries, crashes, or concurrency. Existing tools either require hand-writing complex formal specs or only offer after-the-fact log viewing, lacking a lightweight way to automatically check recorded traces and pinpoint violations to specific steps.
Solution
Import recorded agent runs (JSON/event streams), use preset invariant templates for common agent frameworks (e.g., 'must decrement inventory before payment', 'retries must not double-charge'), and automatically check traces for violations, highlighting the offending step, input, and timestamp. Export minimal reproducible cases for regression testing after fixes.
Monitors App Store / Google Play downloads and revenue trends, alerting indie developers before income collapses
Problem
Indie developers increasingly rely on app store revenue, but over the past six months many have seen downloads drop and income nearly dry up. They lack a lightweight tool to attribute the cause: app store algorithm changes, competitor pressure, or AI-generated app flooding diluting overall traffic? Existing analytics tools are either too expensive or too complex to provide actionable warnings.
Solution
Connect to App Store Connect / Google Play Console sales and download data, monitor daily/weekly/monthly trends, and send email or push alerts when key metrics fall below thresholds. Compare with top apps in the same category to help developers distinguish self-issues from industry-wide trends, and suggest optimizations like pricing changes, renaming, or asset updates.
Helps indie developers screen app names for IP and review conflicts before submitting to the App Store
Problem
Indie developers submitting iOS apps often get takedown or rename demands because their app name resembles an existing similar app. The other party typically launched earlier and holds copyright registration and iteration records, while the developer has no clear idea of the name's legal boundaries, Apple's review stance, or how to respond—leaving them in a passive position.
Solution
Enter a proposed app name and category; it automatically scans existing similar names in the App Store, assesses the risk level of descriptive/generic terms and copyright-registration tendencies, and generates a rename/defense recommendation report. It also provides response templates and material checklists for common Apple review 4.1 name disputes, plus alternative name suggestions to reduce collision risk.
See at a glance whether tonight is good for stargazing
Problem
A developer built a Mac menu-bar app that tells you when tonight is clear, showing that amateur astronomers want a timely nudge rather than opening weather sites to check cloud cover, moonlight, and light pollution every time. It is a low-frequency but timing-sensitive need.
Solution
A Mac menu-bar app that combines cloud cover, precipitation chance, moon phase, and astronomical twilight into one recommendation of the best viewing window tonight, with an optional notification when conditions improve.
Turn official docs and real screen recordings into reusable, self-hosted tutorials
Problem
A developer asked for a self-hosted NotebookLM alternative because most AI narration channels are auto-generated and auto-uploaded with almost zero practical value, and because any monetizable output requires self-hosting. There is no CLI pipeline that chains TTS, STT, image generation, mind maps, and report export locally.
Solution
A self-hosted CLI that takes official docs and screen recordings as input, splits them into chapters, produces illustrated step-by-step guides, narration scripts, and a mind map, and exports publishable Markdown or video scripts. All models are pluggable and run locally, and the output belongs to the user.
Track app store review delays and generate a public pressure page for indie developers
Problem
A developer's Android app sat in Google Play review for over a week and only moved after a public tweet to Google leadership, raising the question of whether Play review is still a rules-based system. Indie developers without big-company contacts or public reach have no way to know if they are being treated differently.
Solution
A lightweight review-wait tracker: developers log their app and submission time, the tool computes elapsed days and generates a shareable 'waiting card'; past a threshold it offers appeal email templates, and optionally publishes an anonymized waiting page as a visible community signal.
Layered hints and local shortest-route solving for the daily word ladder game
Problem
A player built a Poople helper site after noticing that existing guides just hand over the full answer; if you have already made several moves, a fixed route is useless. The official game offers no hint that continues from your current word, even though these daily word games attract large, habit-driven audiences.
Solution
A non-official hint site that reveals the next step gradually: first which letter position to change, then candidate letters, then the next word. Players can paste their current word and compute the remaining shortest route in-browser, and browse past puzzles and routes.
Host and auto-sync modded Minecraft for a small circle of friends and family
Problem
A developer described how hosting a modded Minecraft server with his son was dominated by mod sync pain: one mod updated on the server but not on the client means nobody can connect, and debugging is tedious. Existing hosts handle the server but leave client mod matching as the user's problem.
Solution
A hosting panel that keeps the server and every player's client on the same mod manifest. Players click a single 'Join' link and missing or mismatched mods download automatically; when the owner updates a mod on the web, every client syncs on its next launch.