First Tutorial Published – Request for Feedback

Hacker News

I've created a React tutorial series about displaying GitHub Trending Repos - http://myappincome.co.uk/react-redux-tutorial-trending-github-part-1/. It's aimed at the beginner so isn't anything earth shattering, but uses Redux and Redux-Thunk. I'm working in a virtual bubble, so although my apps "work", I don't have a way of improving beyond self-learning. I would really appreciate any feedback. So please, take a look at let me know what you think. I'm open to all comments, so feel free to pick apart my writing style, the content, the font, the site anything. I'd also really like anything positive...which there hopefully is!

Visit product View on Hacker NewsAug 17, 2016

Share card

Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, open · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

51%51% 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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, 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

Similar products

Zejoop request for feedback31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zejoop request for feedback

Hacker News2

Moover: request a move34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Moover: request a move

Hacker News4

Behavioural Experiment – Request for Participation32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Behavioural Experiment – Request for Participation

Hacker News1

HaxlSharp – Concurrent data fetching and request deduplication in C#56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HaxlSharp – Concurrent data fetching and request deduplication in C#

Hacker News32

See the request header from your browser48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

See the request header from your browser

Hacker News1

AudRec73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Subscribers request management system

Indie Hackerscommitment-side-project

LiveGig62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Serious Request Management for Serious Musicians

Indie Hackers1$40/moentertainment

Make FOI Request39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Make FOI Request

Hacker News1

Livecycle – Get visual feedback, in context, on every pull request51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Livecycle – Get visual feedback, in context, on every pull request

Hacker News44

Closecook35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Passionate cooks around you, who cooks based on your request

Indie Hackerscommitment-side-project

Browse all products Analyze your launch