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GrowChief – open-source social media automation tool

Hacker News

GrowChief – open-source social media automation tool

So happy to introduce GrowChief (AGPL-3). Growchief is an open-source social media automation tool (aka social scraper). It allows you to create a workflow (step-by-step) for interacting with different social media accounts, such as sending a connection request, following up with a message, and so on. Unlike other platforms, GrowChief does not work with search criteria. You'll need to specify the account email, URL, or company information to connect with it. I do not encourage spam. I had tons of fun working on this project Tech Stack: - PNPM (Monorepo) - React (Vite) - NestJS (Backend, Workers) - Prisma (Default to PostgreSQL) - Temporal (Orchestrator) - It takes care of concurrency — even if you create 10 workflows with the same account and trigger all of them at the same time, it will make an action every 10 minutes, never having multiple scrapings happening at the same time. - Enrichment waterful - when you don't provide the account URL but other parameters like email, we use multiple providers to figure out the profile URL. It takes care of your working hours — you can use the API to keep adding leads to your workflows, but they will only be processed during working hours. - Proxies are allowed — you can add your own proxies or create one using proxy providers to keep you safe. - Human-like automation — GrowChief uses natural mouse movements and clicks on different parts of the screen. It never triggers clicks by "document.querySelector('x').click()". - It uses Playwright together with Patchright for maximum stealthiness. - It uses a special technology to authenticate your accounts — you never need to put your username and password directly into the system. - It always runs in headful mode — our Docker image is already built with xvfb for real human automation. It's the very first version, I hope you like it :)

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
93%93% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, dock, email · Missing: mac, agents, macos
81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way, para · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
48%48% 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 · Missing: plus, intuitive, reviews
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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