ArtificialWatch?

KINDAYou can build the valuable core, but the established product has meaningful operational complexity. Pick one narrow promise for v1.

BUILD FIRST

One specific customer type and one primary use case
A vertical slice that completes the main job without manual workarounds
Visible limits, review steps, and a fallback when an external dependency fails

LEAVE FOR LATER

Broad third-party integrations
High-scale collaboration, syncing, and permissions
Automation that can cause harm without human review

RESEARCH NOTES

What this tool actually does.

Checked 2026-09-06

ArtificialWatch is a web service that alerts users the moment a new AI model is released. Its checkers poll provider APIs every 60 seconds; a detection is confirmed on a second sweep before anything fires. The free tier sends email and Chrome push; paid tiers (Signal $12/mo, The Call $19.99/mo, up to $34.99) add instant SMS and a phone call. Users tune alerts per channel: SOTA-only, all major-lab LLMs, or hand-picked models, plus extra streams for AI tools, local models, and Chinese models. Paid plans also watch the AI subscriptions the user pays for — lineup changes, price/limit changes, and quietly retired models — and run the user's saved prompts against a new model on day 0 with a scorecard. A radar page lists confirmed drops and a watchlist of 51 upcoming models, each with leaks, news, official statements, and Polymarket odds. Native desktop/mobile apps are announced but not yet shi

SOURCES

RESEARCHED BUILD PROMPT

Give this to your coding agent.

Build 'ModelDrop Watch', a replacement for ArtificialWatch: a service that tells you the minute a new AI model is released. Workflow: a background poller checks provider APIs (OpenAI, Anthropic, Google, Mistral, xAI, Meta, DeepSeek, etc.) every 60 seconds for new model IDs; a new ID is confirmed on a second consecutive sweep before any alert fires. On confirmation, fan out alerts over the user's enabled channels: email, browser push (Web Push), and optionally SMS and a phone call (Twilio). Users configure per-channel filters: SOTA-only, all major-lab models, or hand-picked model IDs, plus optional streams for AI tools, local models, and Chinese models. A web dashboard shows a radar of confirmed drops and a watchlist of rumored/upcoming models with status; each model page shows release news and a scorecard. Paid tier: monitor the user's AI subscriptions (model lineup, prices, limits, retirements) and run the user's saved prompts against a new model on day 0. Technical: Node.js or Python poller with per-provider adapters, a queue (e.g., BullMQ/Redis) for debounce and fan-out, Postgres for state, a small React dashboard, and a REST API. Include rate-limit handling, idempotent alerts, and a dry-run mode. Do not copy ArtificialWatch's brand, logo, copy, or UI; use your own design. Out of scope: native mobile/desktop apps, Polymarket odds integration, billing/Stripe, multi-tenant auth beyond simple accounts. Deliver a README covering setup, the provider adapter interface, alert channels, and known limitations (API rate limits, model ID detection heuristics, false-positive debounce).

Visit the official product page