Check whether ChatGPT, Gemini, and AI agents can understand and act on your website
Problem
More customers now find services through ChatGPT and Gemini instead of traditional search, and businesses worry competitors dominate AI answers. Meanwhile many sites are unfriendly to AI agents—key info is unreadable or actions fail—and founders can only guess how their site looks to AI.
Solution
Enter a domain to get an AI-readiness report: structured data, semantic markup, whether key info is agent-readable, and whether AI correctly cites the site for common queries, plus itemized fixes. Compare against competitors and get a prioritized optimization list.
Paid-preview and licensing links for UGC creators who currently deliver first and chase payment later
Problem
UGC creators often hand over finished videos and then wait 30 to 90 days for payment, sometimes discovering their 'organic' content is running as a paid ad. Creators lack a lightweight tool that adds constraints between delivery and payment, so they end up undercharging or chasing invoices.
Solution
Creators upload a watermarked preview and generate a brand-facing link. The brand selects a usage license and pays the creator directly on the page; clean files unlock automatically after payment. The platform takes 0%, never touches funds, and only provides delivery and license records.
When GitHub Actions quota runs out, offload jobs to your desktop in one click
Problem
Teams and solo developers frequently hit GitHub runner quota limits, causing builds to queue or fail, while local dev machines sit with spare capacity. Tools like CI-Lifeboat are just starting to appear, signaling a real pain point being validated right now.
Solution
Run a lightweight runner daemon on your desktop that watches the GitHub Actions queue and, when quota runs low, automatically picks up designated workflow jobs and runs them locally, reporting status back. Key features are zero-config onboarding, repo allowlists, and budget controls to avoid overloading personal machines.
Diagnose and fix memory recall issues for long-term coding agent users
Problem
Developers increasingly rely on agents like Hermes as daily assistants, but built-in memory plugins have low recall accuracy and weak relevance, and alternatives like hindsight are hit-or-miss. Meanwhile Skills, MCP, and AGENTS.md configs pile up across agents, making it unclear what each agent actually loads, with duplicate skills, broken symlinks, and corrupted configs common.
Solution
A local tool that scans each agent's memory store and configs to produce a Memory Health Report: which memories are never recalled, which recalls are irrelevant, and which configs are duplicated or broken. It offers one-click backup, rollback, and re-indexing, and exposes diagnostics so the coding agent itself can apply fix suggestions.
See at a glance whether the AI proxies you rely on are actually usable
Problem
Developers using reverse proxies or relay services to reach OpenAI-compatible models often hit slow responses or rate limits and can't tell network issues from flagged accounts or upstream outages. Communities just ask each other 'is it acting up again?'
Solution
Periodically probe multiple OpenAI-compatible endpoints, sample latency and error codes, keep history, and classify incidents as upstream outage, rate limit, or local network—with email alerts on state changes.
Turn real product UIs into clean, interactive demos for marketing
Problem
PMMs and marketing teams demo products whose demo accounts are full of random company names and test IDs. Screenshots look unprofessional, and localizing them requires separate design help. They want to capture the real UI without exposing dirty data.
Solution
Upload real UI screenshots or screen recordings; the tool detects and replaces test data with readable sample values, applies a consistent theme, and generates embeddable interactive demos—with one-click export for multiple languages.
A minimal CRM for small teams that only answers 'who should I follow up with today?'
Problem
Small teams lose potential sales because follow-ups live across WhatsApp, notebooks, spreadsheets and memory. Traditional CRMs are overloaded: you open them and see dashboards, not the few things that actually need doing today.
Solution
An anti-feature-creep minimal CRM: the home screen is a priority-sorted list of today's follow-ups. Add leads quickly from WhatsApp or spreadsheets, get automatic reminders and status transitions—no complex reporting.
No install, no time trap, downloadable browser screen recorder
Problem
People use Loom for quick video notes, but the free plan caps recordings at 5 minutes and blocks downloading your own videos, while paid plans start at $180/user/year. Many just want the shortest path: record screen, get a link.
Solution
A pure browser recorder: open, record screen and camera, stop, and get one finished video with a shareable link and downloadable original. No editor, no meeting features—just the shortest path done well.
EEs upload schematic PDFs to annotate, trace signals and ask AI, without leaving the viewer
Problem
When reviewing or debugging schematics, signal and component info is scattered across PDFs, datasheets and BOMs. Tracing a net or checking a part means jumping between tools, and existing viewers either don't understand the drawing or require importing into a full EDA suite.
Solution
A browser-based PDF workbench: upload a schematic, annotate it, trace the same net name across pages, click a component to pull its DigiKey datasheet and embed BOM metadata, and ask an AI questions grounded in the drawing. Cuts review and hand-off time for hardware teams.
Forward booking emails and get an automatic flight/hotel itinerary timeline
Problem
Frequent travelers have their trips scattered across inboxes, airline apps, old spreadsheets and photo libraries, making it hard to review or plan. Someone built Trvlrr specifically to forward booking emails to a private address and centralize trips, validating that turning confirmation emails into structured itineraries is a recurring pain.
Solution
Users forward flight, train, hotel and tour confirmation emails to a dedicated address. An LLM parses dates, locations and confirmation numbers into a timeline, syncs with calendars, pushes a pre-trip summary, and archives past trips automatically.
Scan repos for licensing and copyright risks in LLM-generated code
Problem
Developers are asking: courts say LLM output can't be copyrighted, yet projects like Linux keep accepting AI-generated code—what does that mean for licenses? Individuals and small teams can't tell which commits contain AI-generated content, whether it conflicts with existing licenses, or what needs disclosure.
Solution
A CLI/CI tool scans git history and PRs, combining optional AI-generation markers, commit metadata, and code similarity detection to flag potential LLM-generated segments. It generates license compatibility reports and disclosure suggestions so teams can complete compliance records before merging.
Distribute indie software redemption codes via a simple form—one unique code per person
Problem
Indie developers commonly run giveaways on V2EX and Reddit when launching, but manually replying and DMing codes breaks down once a thread passes a hundred replies—wrong codes, missed people, duplicates. Existing form services also cap free code distribution, making them unusable for hundreds of participants.
Solution
A minimal code distribution service: upload a batch of redemption codes, set rules (one per person, deduplicate by email, deadline), and generate a claim page. After users submit their email, the system assigns and sends a unique code automatically. A dashboard shows remaining codes and claim records, with CSV export.
Catch common PCB design mistakes before you order the board
Problem
Hardware developers often miss low-level but expensive errors right before ordering boards, such as footprint mismatches, ignored DRC items, and silkscreen over pads. Someone built a KiCad plugin specifically to 'catch PCB mistakes before you order the board', confirming real demand and that existing checks aren't convenient enough.
Solution
A lightweight plugin/CLI reads KiCad project files and checks configurable rules: footprint-pad consistency, critical net widths, silkscreen vs. solder mask conflicts, drill-to-edge clearance, and BOM-reference designator alignment. It outputs an annotated HTML report with screenshots that can be sent to the fab or reviewed by the team.
See if ChatGPT recommends your SaaS, and how your ranking changes over time
Problem
SaaS founders are starting to wonder: when a prospect asks ChatGPT for 'the best tool in category X', is my product even in the answer? One founder explicitly said they have no idea whether they show up and can't track result changes manually, and asked for a free way to monitor it.
Solution
Users enter their product, category keywords and competitors. The system periodically asks the same prompts across multiple AI assistants (with optional region/language variants), logs whether the brand is mentioned, its rank, and the phrasing used. It produces a trend dashboard and emails alerts when rankings drop or the brand disappears.
One browser tool that merges LDD, Studio, and Bluebrick for large LEGO layouts
Problem
LEGO fans designing large layouts must switch between LDD, 4DBrix, Studio, and Bluebrick, with no unified way to handle physical height differences, 2D/3D views, and individual MOCs—the workflow is fragmented.
Solution
A browser-based unified editor that imports common formats, handles 2D top-down and 3D preview on the same canvas, annotates height offsets and module ownership, and exports parts lists.
Wispr Flow-style dictation for Windows that runs entirely on your PC
Problem
Wispr Flow and similar dictation tools are great on Mac, but Windows users either rely on cloud solutions with privacy and latency concerns or lack a polished local tool—while more people write and code on PC for hours.
Solution
A Windows desktop app with a global hotkey that records, transcribes locally with Whisper, and injects text into the active field. Custom vocabulary and punctuation commands included; data never leaves the machine.
Auto-adjusts your Garmin strength workouts every week based on how you actually trained
Problem
Garmin users want to strength train, but watch plans are static—they don't adapt to last week's completion, fatigue, or progress. Users either manually edit or give up, breaking training continuity.
Solution
Connects to Garmin Connect, reads last week's workout completion, and generates next week's strength sessions using progressive overload rules, syncing to the watch calendar. Manual override and notes supported.
Automatically saves and restores multi-tenant agent state so you don't hand-write checkpointers and idempotency
Problem
LangGraph and similar frameworks let you save and load agent state, but devs must still write checkpointers, recovery logic, and handle idempotency themselves. As agent business logic explodes and serves multi-tenants, this becomes painful—and no product auto-adapts to it.
Solution
SDK that wraps agent nodes via decorators, automatically recording checkpoints, idempotency keys, and recovery policies; on failure it rolls back to the last stable node and retries. Multi-tenant isolation and an observability panel included.
Generates clickable source anchors for every AI citation so you can verify answers in seconds
Problem
With 30 docs in a Claude project, the answer is impossible to verify—you open the file, flip pages, scan until you find it. The same for websites. Agentic citation and research is tenuous and unreliable.
Solution
Builds a paragraph-level index over uploaded docs or web snapshots; forces the AI to cite snippet IDs; renders them as clickable links that jump to the highlighted source passage. Supports PDF, Word, and web snapshots.
Give every side project a contact email and form without DNS setup or buying mailboxes
Problem
An indie developer maintaining several side projects needs a contact email for each, but doesn't want to buy a mailbox, configure DNS, or wire up an email service per project. Many AI-generated projects ship with no way for users to reach the creator at all.
Solution
Users sign up and get a dedicated contact address per project (e.g., project@sidecontact.app) plus an embeddable lightweight form. Messages land in a unified inbox and can be forwarded to a personal email, with zero configuration required.