Loops.so Reviews

FastAPI Reviews

1. Kurslog team

   · Working at Kurslog · 5 months ago

   When our backend team needs to build services for data parsing, aggregators, or high-load APIs, FastAPI is our absolute go-to choice. It completely lives up to its name-development speed is outstanding.

   The combination of Pydantic for data validation and built-in async support keeps our shared codebase clean, strictly typed, and reliable. But the biggest highlight for our cross-functional team is the automatic generation of interactive OpenAPI (Swagger) documentation. Our frontend and mobile developers no longer have to wait for backend engineers to manually update API docs; everything stays perfectly in sync automatically. It has drastically improved our team's communication and delivery speed.

   🏁 Competitors: Django, Flask, ExpressJS, Nest.js, Spring Boot

   👍 Pros:    Blazing fast performance (on par with nodejs and go)|Native asynchronous support out of the box|Automatic, interactive documentation generation (swagger/redoc)|Strict typing and data validation with pydantic

   👎 Cons:    Smaller plug-and-play ecosystem compared to older frameworks like django|Requires our architects to design the project structure and directory layout from scratch

Loops.so mentions (9)

• Org-Level Email Campaigns are Somehow an Unsolved Problem

  I thought this would be easy using any of the email marketing tools out there like Resend or Loops, but this was not the case. All of the available tools shockingly handle campaigns at a user instead of organization level. - Source: dev.to / 8 months ago

• Weekly Indie Log #19

  Previously, I used Loops.so to send out newsletters. However, it involved the tedious task of reformatting the blog post within their campaign editor and re-uploading all media. - Source: dev.to / almost 2 years ago

• Zero to Launch: Our Algorithm For An Efficient Project Launch

  We have two members with substantial followings, so we designed a landing page for a waitlist in Figma. Implementing in Next.js, hosted on Vercel and integrated with Loops.so, allowed us to efficiently control the design and UX and ramp up a successful pre-launch campaign. - Source: dev.to / about 2 years ago

• JoblessDev: New Open-Source CS Job Platform for Students and Recent Grads

  Email: https://loops.so - loving them! - Source: Hacker News / over 2 years ago

• Show HN: Use your work email to send rich transactional emails for your startup

  This came to life by scratching my own itch configuring domain/DKIM, DMARK, SPF, ... For my work email, and not wanting to go through it again to configure the email generated when using https://loops.so and similar. I'm starting up and for the foreseeable future, using my personal email to send emails on behalf of my SaaS is perfectly fine. With that, I still wanted to be able to be sending out rich HTML emails,... - Source: Hacker News / over 2 years ago

FastAPI mentions (312)

• I Built My First Machine Learning API — Here's Everything I Learned

  I used FastAPI, a Python framework built specifically for creating APIs quickly, with automatic validation and interactive documentation baked in. - Source: dev.to / 6 days ago

• Shipping Sovereign SDK: Cryptographic Forensic Receipts and the End of the AI "Prose Tax"

  The Sovereign SDK is a Python-native framework designed to minimize prose overhead while generating ironclad, cryptographic execution receipts for AI agents, complete with drop-in FastAPI/Starlette ASGI middleware. - Source: dev.to / 3 months ago

• 5-Minute AI Jobs and Closed Tabs — Why We Built Replay-Then-Tail SSE

  We had a feature in production where a single user request could run for five-plus minutes — fetch documents, chunk them, hit an LLM per chunk, synthesize a final answer. We did the obvious thing first: a FastAPI handler that ran the pipeline and streamed progress back to the browser over Server-Sent Events. - Source: dev.to / 4 months ago

• FastAPI With LangChain and MongoDB

  FastAPI is a Python framework for building APIs quickly, efficiently, and with very little code. - Source: dev.to / 4 months ago

• I Built A " CrowdSense AI " : A Scalable, Context-Aware Platform for Smart Stadiums

  Backend: Python-based FastAPI for its asynchronous I/O capabilities and rapid JSON serialization. - Source: dev.to / 4 months ago