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Starlo – Microblogging for the Modern Era

Hacker News

Starlo – Microblogging for the Modern Era

Hey HN, today we’re announcing Starlo. It’s essentially a shopify for social profiles. It’s a tool that’s built to solve for the lack of independent publishing options for content creators (of all types). It’s a self-labeled social profile, one in which the creator is the hero, not the platform. We’re taking a social-first approaching at independent publishing, with current support for short/long-form text posts, images, vertical/horizontal videos, short/long audio. I’ve been creating content online for over a decade and I’m tired of pivoting to new platforms just to communicate my ideas. Writers and podcasters have many options for independent publishing, but creators of short-form content have no real alternatives outside of developing their own platforms, or by using existing high-maintenance social networks. We’re launching in early access today, and will be rolling out features such as monetization options, custom domain names, content presentation options, a mobile app, and more over the next year. I’d love to get your take on what we’re building, and I’m convinced Starlo will solve for many issues related to micro-blogging, independent publishing, and dependence on large social networks. If you want to see what it’s like so far, here’s my profile: starlo.me/jarrenrocks Also we’re currently bootstrapped. Investors feel free to say hi jarren@starlo.me

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% 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, using · Missing: mac, agents, macos
78%78% 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
58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
58%58% 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 · Strong signals: video · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr, bootstrapped, shopify · Missing: mrr, revenue, profit
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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