A growth marketer learns to code

Hacker News

I'm a growth marketer working at my third startup. At times, I've felt like a kid with my hands under my legs. For the last 12 weeks, I've been spending 9 hours on Saturdays learning to code. Instead of feeling limited, I now feel like I'm able to stand up & sprint. Here are a couple of the projects I've been coding up at work. I hope this is just the beginning because I love the feeling of taking an idea to completion within a day & testing it fast. http://offers.twenty20.com/social-media-roi http://offers.twenty20.com/twenty20-14-day-free-trial My biggest lesson is that there's always time, no excuses. And honestly, I'm having tons of fun.

Visit product View on Hacker NewsFeb 16, 2015

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

67%67% 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: coding, code · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · 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.

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

47%47% 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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue

20%20% 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

Similar products

Marketer Daily87%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Personal stories from a growth marketer.

Indie Hackerscommitment-side-project

A Perceptron Learns56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Perceptron Learns

Hacker News4

Joel Learns Copywriting56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Joel Learns Copywriting

Hacker News2

Visualizing how a NeuralNetwork learns to recognize the MNIST digits61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visualizing how a NeuralNetwork learns to recognize the MNIST digits

Hacker News8

Fathima Nahna - Digital Marketer13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Freelance digital marketer in malappuram

Product Hunt+2

junaidtj.com8%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Digital marketer

Product Hunt+7

Shahzad13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Digital Marketer and SEO Specialist

Product Hunt

Name generator that learns your tastes61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Name generator that learns your tastes

Hacker News5

Leveraged50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A marketplace for modern marketer

Indie Hackers

SaaS Marketer56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Biweekly, actionable SaaS growth case studies

Indie Hackers13$13,783/momarketing

Browse all products Analyze your launch