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Forest Admin Cloud

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Forest Admin Cloud

Hi all, Sandro here, founder of Forest Admin. We’re thrilled to announce the launch of Forest Admin Cloud ( https://forestadmin.com/cloud ). With it, you can instantly create a fully-functional admin panel without needing to start from scratch or use an internal tool builder, no BS! The magic of our technology is that it automatically generates a custom user interface and all the necessary API endpoints for it to generate your admin panel. Whether it’s to read data from your web app in an organized way, to manipulate it, to trigger actions, to configure complex workflows with a granular permission system... Forest Admin has everything covered to accompany very early-stage startups to huge scale ups (+2k active users on the same account for our biggest customer!). We believe this is a game-changer for the market, as internal tools become increasingly popular. An admin panel is meant to be the heart of your business operations, and it deserves a proper product reflection. Much in the same way that Salesforce and HubSpot develop products for their CRMs, Zendesk and Front for support, etc. These are all internal tools, but specialized in a specific field, allowing them to go much further than what a person could create with an internal tool builder. Our lumberjacks and lumberjills are really working hard on that product. The road is still long to become ISO-feature of Forest Admins self-hosted (which will remain always available). We are actively working on new features that will bring maximum flexibility and autonomy as quickly as possible, through no/low/full-code functionalities. If you have 5 minutes to spare, it would be great to give it a try. And if you have any feedback, opinion, or advice - please leave a comment below! Our whole team is watching this thread, awaiting for interaction :) https://forestadmin.com/cloud

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
91%91% 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, new, code · Missing: mac, agents, macos
84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
72%72% 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: host, interface, builder · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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