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Worthunt – a single workspace for freelancers, creators, and agencies

Hacker News

Worthunt – a single workspace for freelancers, creators, and agencies

Hi HN, I’m building Worthunt, a unified workspace for digital professionals Today, independent professionals use scattered tools for payments, clients, analytics, and workflow. It’s expensive, fragmented, and hard to track what’s actually driving growth. Worthunt simplifies this by combining everything into one platform your network, payments, analytics, and AI insights built for the modern working economy. Our vision is to help every digital professional operate frictionless we want to be the salesforce or Microsoft for this new digital first workforce: own their data, understand their metrics, and grow faster without relying on multiple platforms or marketplaces. We’re partnering with teams like Framer and Lovable to integrate creative and workflow tools directly. Our target is to save users ~30% on costs and 4–5 hours a week from reduced tool-switching. You can try it at worthunt.com Would love feedback on usability, workflow logic, or integrations you’d like to see.

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Actual performance

2points
Did not reach leaderboard

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: user, lovable, new · Missing: mac, agents, macos
77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
37%37% 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
24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: growth · 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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