More teams are calling LLM APIs, but sending real user data to OpenAI or Claude raises privacy and compliance worries. Someone built an open-source proxy that masks PII before a request leaves and rehydrates values in the response, and is now validating whether a B2B market exists. Meanwhile, many SaaS teams rebuild Presidio, NER and token maps from scratch—repetitive and error-prone.
Solution
A lightweight proxy that can be self-hosted or managed: point your LLM base URL at it, and it detects PII, replaces it locally, forwards to the upstream model, then restores values in the response. Signed audit logs are included; works with OpenAI, Claude and similar APIs. Focused on leak prevention rather than being a general gateway.
Surface the trial users who are actually close to buying
Problem
SaaS products with free trials can have thousands of users in trial and still have no idea who is close to buying. Someone described it plainly: thousands in trial, no sense of who will pay, and the product data is not turning into anything actionable. Sales and founders waste time on the wrong users while good leads are missed.
Solution
Ingest product events, email engagement and pricing-page behavior, then score each trial user with explainable rules plus a small model. The key is not a black-box number but a reason and a next action: send a discount, book a demo, or hold off. It sits alongside existing analytics instead of replacing the stack.
One page shows which GPU is free across all your machines
Problem
Labs and small teams often have several GPU machines but no scheduler. Users must SSH into each one and run nvidia-smi just to find a free card before starting a job. It is repetitive, wastes time, and often ends in waiting on someone else's process. Someone built a CLI and a web page for this, but only for their own environment—there is no general product.
Solution
A lightweight monitoring service: install a small agent on each machine, report GPU model, utilization, memory, running processes and user to a central dashboard. The dashboard highlights idle cards, offers one-click SSH command copy, and can notify via email or Slack when a card frees up. It only does visibility, not full scheduling.
See whether agents actually use the skill you shipped—at runtime
Problem
A lot of SaaS and API platforms publish agent skills, yet the authors have no idea how often those skills are actually used in the wild. Someone on HN openly asks how to measure how often an installed skill gets triggered, how often an agent falls back to web search instead of following the skill, and how long it takes for a skill to ever fire. Teams only have evals under ideal conditions and no runtime behavior. Revenue is affected but invisible.
Solution
Offer a lightweight SDK or proxy endpoint that hooks into the skill's MCP or tool-call path to log whether a skill was invoked, by which agent, whether a fallback occurred, latency and success. A dashboard breaks down trigger rate, bypass rate and failure reasons by skill and agent version, with export support. No user text is collected—only structured hooks.
An online digital wrap editor for Tesla owners who don't know Photoshop
Problem
Tesla owners want to change the digital wrap on their car's on-screen model and in the app. Tesla publishes templates on GitHub, but the workflow requires Photoshop to place images and text and export correctly. Many owners don't know Photoshop, try the tutorial, and give up. When one developer shared his result, friends and other owners online asked how he did it—a clear niche demand.
Solution
A browser-based 3D wrap editor: pick your model to load the official template, drag and drop images, add text and decals, see a live preview on the car, and export a file that meets Tesla's requirements. Built-in presets and templates lower the barrier from scratch.
See every email your SaaS sends, to whom, and how it performs
Problem
Teams running SaaS products admit they can't clearly say what emails their app sends: welcome notes, password resets, failed-billing alerts, weekly digests. These are scattered across SendGrid, Mailgun, and Resend, requiring tags, filters, dashboards, and log digging to piece together. Over time, nobody remembers which conditions trigger which email.
Solution
A lightweight email inventory and monitoring tool: connect your sending providers' APIs and it automatically lists every template and trigger, grouped by user journey. It shows volume, open rate, bounces, and complaints per category, and alerts when a trigger spikes or suddenly drops to zero. The core value is a living map of what you actually send.
A checkout system for small shops that keeps selling when the Wi-Fi drops
Problem
Local shop owners complain that most modern retail systems freeze or stop working entirely when the store's Wi-Fi blinks, causing lost sales and long lines at the register. They also lack a lightweight way to see inventory and sales across a few branches. Existing software is either fully online or mismatched to their needs.
Solution
An offline-first point-of-sale app: orders are written to a local database first and synced to the cloud when the network returns. During outages, staff can still scan items, take payment, print receipts, and deduct stock. A simple back office shows multi-branch inventory and daily closing reports, with a mobile view for the owner.
A lightweight teaching assistant for 1-on-1 K12 tutoring: lessons, grading, and homework in one loop
Problem
For offline 1-on-1 K12 tutoring, teachers are the biggest cost—2 hours in Shanghai runs $110–170, and the teacher takes half. School owners want to pair cheaper college-student tutors with an agent that drafts lesson plans, grades homework (including OCR from photos), and assigns follow-up work based on mistakes. But their homegrown shell has a broken database and flaky APIs, so they want a developer to step in. Few focused tools exist for these small offline schools.
Solution
A lesson-prep and grading workspace for tutoring centers: tutors enter topic and student progress, and it generates tiered lesson notes; students upload homework photos, which are OCR'd, graded against a question bank, and tagged with error reasons; the system auto-builds the next practice set from mistakes and produces a parent-friendly report. The point is one pipeline from generate to grade to re-practice without manual copy-paste.
Let AI agents fetch API keys only after you approve on your phone
Problem
Indie devs have API keys for models and services scattered across their machines. The moment you hand a repo to Claude Code or Codex, those keys risk being pulled into context or written to logs. People are already asking how to keep customer PII out of LLMs, and some have hacked together encrypted phone-based key storage with approval—but the UX is rough, with no iOS push support at all.
Solution
A local-first key vault and approval service: secrets stay encrypted on your machine or phone; when an agent needs one, it calls a single CLI command, which pushes an approval request to your phone. Only after you tap approve does the agent get a short-lived credential. Ships with a gateway, CLI, and a prompt template so agents know when to ask instead of echoing secrets.
Route low-volume e-commerce orders to community packing spaces and skip pricey 3PLs
Problem
For low-volume e-commerce sellers, traditional third-party warehousing and fulfillment is insanely expensive and volumes cannot meet minimum commitments. People are trying to connect local individuals with space to pack and shops needing fulfillment, like an Airbnb for logistics, but matching, settlement, and trust mechanisms are immature, leaving founders unsure what to do after the MVP.
Solution
Connect a seller's order system with a local packer network: after a seller lists SKUs, the system routes orders automatically based on address distance, available capacity, and packing capability. Packers receive a work order with label and packing guidance, the platform settles after completion, and two-way reviews plus package exception tracking make fulfillment traceable.
Find shots in local video frames and photos with natural language, callable by MCP agents
Problem
Creators and editors pile up huge local media libraries, but finding a specific shot means digging through folders and timelines. Ordinary asset managers help you find files, not shots. For example, finding a frame of "a person running on the beach at sunset" relies on memory and slow scrubbing.
Solution
Index local media by splitting video into frames or shots and generating embeddings, so users can search visuals with natural language. Also expose an MCP interface so Codex, Claude, Cursor and other agents can search, preview, organize, and even export clips for the user.
Help solo AI creative studios assemble a deliverable client offer in 7 days
Problem
Many people doing AI video and creatives can produce content, but get stuck at choosing one video type and one client segment. The direction is unclear, so ads and deliverables scatter and client acquisition never happens. For example, a small D2C clothing business posting on Instagram gets no leads and does not know which platform or tools to use for better videos or images.
Solution
Enter your capacity, gear, and target industry; the system generates 3 vertical offer templates you can sell immediately (e.g., "15-second dish videos for local restaurants"), each with a prompt set, shot-list template, price range, and 10 cold-start outreach scripts. Users land the first client with a template, then iterate the offer based on results.
Real-region end-to-end availability testing for overseas B2B products
Problem
Teams running a small B2B product across overseas markets keep seeing bugs that only reproduce locally: country-specific payment SDK behavior, stale CDN edge cache, and TLS/TTFB issues that appear only on local mobile networks. VPNs and emulators are insufficient: VPNs do not replicate carrier routing or device integrity checks like Play Integrity, and commercial device farms rarely guarantee real device state and real network paths.
Solution
Partner with local testers or a small device pool to run a scripted set of critical paths on demand: login, payment SDK calls, CDN cache hits, TLS handshakes, and TTFB metrics on real SIM networks. Deliver a check report with screenshots and network logs, and allow scheduling via CI.
Automatically remove abandoned code and data structures after AI coding agents change direction
Problem
A common failure mode across coding agents: when an implementation hits a problem, the agent writes a replacement; if the overall approach changes, it starts a new path; if only a detail is off, it adds yet another helper or class. What it rarely does is remove the code and data definitions added for the abandoned approach, so dead code piles up across sessions.
Solution
Watch the git diff and workspace changes of an agent session, use a lightweight analyzer to flag newly added symbols, classes, and helpers that no existing path references as "abandoned candidates," produce a per-item reviewable cleanup list, and after user confirmation delete them and hand the action back to the originating agent for logging.
Scan an npm package or MCP server for malicious code before you install it
Problem
npm supply-chain poisoning and malicious MCP servers are rising, yet ordinary developers have almost no low-cost way to judge whether a package is trustworthy before installing it. Someone already built a tool to check npm packages or MCP servers for malicious code before install, showing that 'verify first' is a real developer instinct, not an after-the-fact fix.
Solution
A pre-install audit tool: enter a package name or MCP server address and get a quick summary of suspicious behavior (postinstall scripts, outbound network calls, obfuscated code, unusual permissions, recent maintainer changes) with a risk rating and explanation. Ships as a CLI, an IDE plugin, and a CI hook.
Duolingo-style stretching that desk workers actually stick with
Problem
Long sitting hours cause back, shoulder, and neck pain, yet people know they should stretch and still can't keep it up. Most stretching apps are just exercise libraries with little pull to come back. One maker built an ADHD-friendly stretching app precisely because they couldn't stay consistent themselves, showing that adherence, not exercise variety, is the real pain.
Solution
A gamified stretching tool built around completion: 3-5 minute micro-stretch missions, streak-based light rewards, muscle-labeled movement guidance, and targeted sequences for back, shoulders, and neck. Low activation energy, short and frequent, minimal choice overload.
See time left at a glance in the favicon, no tab switching
Problem
People rely on search-box timers or Pomodoro apps during work sessions, but once too many tabs are open they can't see the remaining time and keep clicking back to that one tab to check. System tray or standalone timers get forgotten. The author built an HTML timer with a favicon-as-timer precisely because of this friction.
Solution
A minimal web timer where the browser favicon itself is a draining ring or hourglass, keeping the countdown always visible without switching tabs. Supports Pomodoro cycles, task labels, sound alerts, and a shareable fixed link, all client-side with no account required.
Turn dozens of tabs and hundreds of read-later items into a list you actually finish
Problem
People keep dozens of tabs open, accumulate hundreds of unread read-later items, and can't find that vaguely-remembered page without scrolling a timeline. The real need isn't a new AI browser (ChatGPT Atlas shutting down proves that path is rough), but AI-assisted management of existing Chrome/Edge built-ins. Most AI tab managers only group tabs and never help you digest them.
Solution
A browser extension that dedupes, groups, and summarizes the current window's tabs, flags which ones can be closed, and turns read-later/history into a locally searchable knowledge base with semantic search and batch summaries. Local LLM by default, privacy-first.
Read Java-serialized Redis values as real objects, right in the browser
Problem
Java services frequently write opaque blobs into Redis: JDK native serialization starting with `’` / `ac ed`, escaped JSON text, or Jackson/Fastjson polymorphic JSON where `@type` / `@class` carries the real business meaning. RedisInsight is powerful but painful for day-to-day Java cache debugging, and editing a value wrongly can blow up integration testing. Developers keep hitting the same wall: keys are visible, values are unreadable.
Solution
A lightweight Redis value decoder for Java developers that auto-detects JDK serialization, escaped JSON, and polymorphic JSON, renders the object as a collapsible tree, and lets you edit fields and write them back in the original format. Ships as a standalone tool or an enhancement layer on top of RedisInsight.
Import KML routes, offline maps, and voice off-route alerts for hikers
Problem
Hikers say the real outdoor needs are simple: where am I, how to follow the route, am I off-course, and how far/high did I go today. Existing apps are complex or lack KML import. Users want a lightweight iOS app focused on recording and navigation.
Solution
An iOS hiking app supporting KML route import and offline maps; real-time track, altitude, and ascent recording; voice off-route alerts; per-kilometer announcements; waypoint marking for water/camps and KML export.