Ops Ops newsletter

Ops Ops newsletter

Indie Hackers

Lean Six Sigma for the internet

I work in ops and it's one of the most exciting yet underrated jobs at any tech company. I write the newsletter to both increase my own understanding of the job and find other folks working on it.

Share card

Actual performance

1followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, 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 · Missing: https docs, excited, just released
33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
25%25% predicted probability of success on Indie Hackers, 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
21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
20%20% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Na
Nanosai Mem Ops – ByteArrayAllocatorAutoDefrag-Allocation, Deallocation21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nanosai Mem Ops – ByteArrayAllocatorAutoDefrag-Allocation, Deallocation

Hacker News1
Ou
Our newly launched dev/ops consultancy28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Our newly launched dev/ops consultancy

Hacker News5
Flowtask
Flowtask51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your AI Ops Manager

Product Hunt+99Productivity
Fi
FixScript – the annoying part of ops, automated32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FixScript – the annoying part of ops, automated

Hacker News3
OpsWP
OpsWP32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Full-Scope WordPress Ops

Indie Hackers2wordpress
St
Strata AI-powered ops platform24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Strata AI-powered ops platform

Hacker News1
Or
Orbital Package System (Ops)48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Orbital Package System (Ops)

Hacker News4
An
Anyscale Inference and Portkey Ops34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Anyscale Inference and Portkey Ops

Hacker News2
Ja
Jackrabbit Ops: Talk to your business21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jackrabbit Ops: Talk to your business

Hacker News2
Na
Nanosai Mem Ops (Java) Tutorials29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nanosai Mem Ops (Java) Tutorials

Hacker News2