Pare – Simple Serverless Python

Hacker News

Pare is an SDK and hosted platform for Python Lambdas. It makes it easy to split functionality out of your main application onto separately scalable compute. A few use cases where it shines are: - document parsing - data aggregation - webhook handling - image processing since these are generally compute-bound and can be built as isolated functions. We were inspired by Modal’s developer experience — fast deploys with a simple in-code SDK interface. We also use Depot under-the-hood to build images as fast as possible. You can try it out now by authenticating with github → marking an endpoint in your code → running ‘pare deploy […]’ Any feedback would be greatly appreciated!

Visit product View on Hacker NewsAug 21, 2024

Share card

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

78%78% 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: para · Missing: supports, reddit linkedin, podcasting

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform, host, interface · Missing: plus, intuitive, reviews

63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

56%56% 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: para · Missing: mobile apps, ios, personal

33%33% 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

16%16% 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

Comparing cloud hosts for serverless functions (FaaS) for Python45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Comparing cloud hosts for serverless functions (FaaS) for Python

Hacker News1

OpenFaaS (0.17.0) Serverless Functions Made Simple49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenFaaS (0.17.0) Serverless Functions Made Simple

Hacker News9

OpenFaaS Serverless Made Simple47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenFaaS Serverless Made Simple

Hacker News10

Cohesion: Build serverless workflows in Python67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cohesion: Build serverless workflows in Python

Hacker News1

Zappa – Serverless Python/Django on AWS Lambda67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zappa – Serverless Python/Django on AWS Lambda

Hacker News87

Slog, a simple logger for Python49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Slog, a simple logger for Python

Hacker News1

A Simple Nonlinear Autoencoder in Python51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Simple Nonlinear Autoencoder in Python

Hacker News4

OpenCV Wrapper – A simple wrapper for opencv-Python36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenCV Wrapper – A simple wrapper for opencv-Python

Hacker News6

Ldapper – A simple, ergonomic Python ORM for interacting with LDAP64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ldapper – A simple, ergonomic Python ORM for interacting with LDAP

Hacker News9

Simple Brainfuck Interpreter in Python77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple Brainfuck Interpreter in Python

Hacker News1

Browse all products Analyze your launch