Cloakist (custom domains and branding for any platform)

Hacker News

We noticed that many big platforms don't let you add custom domains, nor your own branding. Just a couple weeks ago, Atlassian announced that they won't be supporting custom domains for their Cloud products this year. That feature request has been open for 10+ years. And it's not just the dinosaurs like Atlassian. Newer kids on the block like Notion, ClickUp and RoamResearch also don't offer custom domains (or custom branding). We've built Cloakist to solve this. It lets you put any public site at a custom domain, with your own branding added to the page. Making this has been a really interesting experience so far, from both a technical and product perspective. Curious to hear what the HN community makes of it and what advice you may have for me. You can find live examples, use cases and more info at https://cloak.ist if interested.

Visit product View on Hacker NewsAug 20, 2020

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

84%84% 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: new, open · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

15%15% 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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