alexyaseen
Joined 12 years ago
Joined 12 years ago
At https://parabola.io, many of our best users are trying to leverage other APIs but don't quite know how to use them or how to read their docs. We realized there weren't many good resources out there, so we put together this friendly guide to help our users. But it really deserves a place out in the wild!
The guide also comes with a fully working example API that is open source, so you can learn how APIs are made. There are definitely more features that we'd love to build such as POST/PUT/DELETE request types actually appearing to modify data. So if anyone is interested, we'd love to accept a PR.
Feel free to ask any questions about our inspiration for this, how we made it, or make suggestions of things we could phrase better/more clearly.
Parabola is eliminating the busywork in knowledge workers' daily tasks.
Our drag-and-drop web app lets marketing, sales, and operations people build functional data flows to automate processes, integrate tools, and generate custom reports.
We're a small but highly focused team backed with seed funding from some of the top VCs in Silicon Valley. We're always interested in hiring amazing engineers, but we're also currently hiring our first marketing person.
As the first marketing person on the team, you would be instrumental in helping us ideate, develop, and test the strategies to educate the world about how to have the same success our highly passionate early customer base has had with Parabola.
If you're interested, reach out at [email protected].
Learn more at:
- https://angel.co/parabola/jobs
- https://medium.com/parabola-labs/not-everyone-needs-to-learn...
- https://techcrunch.com/2018/05/22/parabola-raises-2-2-millio...
HN discussion: https://news.ycombinator.com/item?id=17147272
>"drag-and-drop data transformation pipelines that comes with app integrations at both ends"
Parabola is very focused on data transformation/manipulation. Our best customers end up with hundreds of steps in their flows, essentially creating full-fledged programs. As part of this focus on data transformation, we primarily operate in a batch-processing fashion. We also perform calculations live while you work on your flow, similar to a spreadsheet or a python notebook.
Zapier on the other hand is great at connecting with TONS of tools, and makes integrations between those tools really smooth. It operates best in an event-based paradigm when you don't need to do much transformation/calculation in between connection points.
There's probably a small amount of overlap at the edges, but in general it's pretty clear when a use case will be a good fit for a tool like Zapier or when it's a good fit for Parabola.
I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing.
I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third party tools, etc.
Non-technical people have to rely on doing things manually or using fragile spreadsheets that solve only part of their use cases. We don't think everyone should have to learn to code in order to work productively (https://medium.com/parabola-labs/not-everyone-needs-to-learn...). That’s why we’re building the tools to help people stop wasting so much time on manual processes, and instead focus on their actual core competencies.
We’ve made some interesting decisions in the design of Parabola’s visual programming “language”. We’d love to hear what you think and are happy to discuss our thought process in the comments.
[ my public key: https://keybase.io/alexyaseen; my proof: https://keybase.io/alexyaseen/sigs/4ABvgi8XGQx0Ers5qUsVNbBWPghDuZXVh9AsC0qDmG0 ]