Pibow - an update (sold 12,000 in 11 weeks)

Hacker News

76 days ago I submitted this link: http://news.ycombinator.com/item?id=4257793 Since then the response we've had has been just unbelievable - we've opened a workshop, bought three laser-cutters, have distributors in the UK, America, and Sweden, hired a full-time staff member and also have two temporary workers helping with the backlog. Something about Pibow caught a lot of peoples imagination for sure! We've learnt a huge amount during that time about setting up, insurance for light manufacturing, shipping and handling customs, dealing with bulk orders and retailers, and just generally having a blast connecting with our customers who are amazingly passionate and interested in what we're doing. We've just had a guest post featured on the Raspberry Pi foundation website (http://www.raspberrypi.org/archives/2098) which gives a bit more insight into the journey we've taken so far. As our first foray into manufacturing (coming from a software/design background) this has been a really amazing experience for us both! We intend to build the business (Pimoroni) into something bigger and have plans for a few more products as soon as we have a bit of time and head space to deal with it.

Visit product View on Hacker NewsOct 2, 2012

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Actual performance

6points

3comments

Did not reach leaderboard

Launch Intel predictions

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

87%87% 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: 000, io · Missing: https docs, excited, just released

60%60% 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: soon · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, open · Missing: mac, agents, macos

28%28% 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

13%13% 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.

Incorrect prediction on native model

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