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Crawlee Cloud Self-hosted platform for running Crawlee and Apify actor

Hacker News

Crawlee Cloud Self-hosted platform for running Crawlee and Apify actor

Hey HN, I built Crawlee Cloud, an open-source, self-hosted platform that lets you run Crawlee and Apify Actors on your own infrastructure. The problem: The Apify ecosystem (Crawlee, SDK, Actors) is fantastic for web scraping, but it's tied to their cloud. If you want to keep your data on-prem, run on your own servers, or save on costs at scale, you're stuck. The solution: Crawlee Cloud implements Apify's REST API so your existing Actors work without code changes. Just point APIFY_API_BASE_URL to your own server. What's included: SDK compatible: Datasets, Key-Value Stores, Request Queues all work Docker-based: Each Actor runs in an isolated container Dashboard: Monitor runs, explore datasets, manage Actors CLI: Push, run, and manage Actors from your terminal Stack: Node.js, Fastify, PostgreSQL, Redis, S3/MinIO, Next.js GitHub: https://github.com/crawlee-cloud/crawlee-cloud Happy to answer questions!

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Actual performance

4points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, code, open · Missing: mac, agents, macos
89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released
77%77% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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