Le

Lessons from a Flightless Bird (Book)

Hacker News

Lessons from a Flightless Bird (Book)

On leaving my previous employer after seven years as CTO, it struck me that there are plenty of books on business written from the perspective of great success, and quite a few on spectacular and notable failures. What there didn't seem to be were many books on management and technology written from the point of view of a company that didn't exactly take off, but also didn't crash and burn. Given that most companies are somewhere between these two extremes, there might be something to be learned in this middle ground. Largely for the benefit of my children, so that they don't have to learn their lessons the hard way, I have spent the last couple of years putting together a few words on the key topics (management team dynamics, culture, technology, sales, product, etc). This seems to have turned into a book. It might be of interest to some of you, and in any case feedback is welcome. There's a sample chapter available at the above link. Oh, and a Developer Alignment quiz, if you fancy giving it a try.

Visit product View on Hacker NewsJul 23, 2024

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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 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.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · 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 · 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

21%21% 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

Similar products

Lessons of HN48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lessons of HN

Singing lessons Westlake Village24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Singing lessons Westlake Village

Free AngularJS 1 on 1 lessons36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Free AngularJS 1 on 1 lessons

TypeScript in 50 Lessons (Book)48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TypeScript in 50 Lessons (Book)

Life Lessons35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Life Lessons

Indie Hackers1advertising

Sprelli.com9%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find tutors, book lessons & learn with XP and badges

Fiddlewax Interactive Lessons56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fiddlewax Interactive Lessons

Greek dialogues App ΕΛΑ68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Greek audio lessons

Indie Hackerscommitment-side-project

My first ever e-book, Hacking Obamacare65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first ever e-book, Hacking Obamacare

I Wrote a Book on ReactiveCocoa75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Wrote a Book on ReactiveCocoa

Browse all products Analyze your launch