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LaunchAfrica – Find jobs in startup and tech companies in Africa

Hacker News

LaunchAfrica – Find jobs in startup and tech companies in Africa

I am releasing my new project, LaunchAfrica, as a beta to Hacker News. http://launchafrica.io/ Its basically yet another jobboard (sorry) but with the focus on the African tech and startup scene. As someone who grew up in Africa, I would like to give back and showcase the opportunities that this are available. What I am looking for from you is any critical feedback. From the design, to copy, and even the functionality and any additional features. ANY feedback is welcome! p.s. Any one reading this who has a startup or tech company in Africa, please don't hesitate to get in contact so we could work together. I would love for your job vacancies to be listed here. It is entirely FREE right now! To reduce the friction I would even post them for you! Thanks!

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Actual performance

6points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
63%63% 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.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, io · Missing: https docs, excited, just released
50%50% 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
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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