
Zipcodestack
ZIP Code API
PostalCodes.info
ZipCheckup
Smarty
Geocode.xyz
Geoco.io
getAddress.io
Modal
e2b
Zerve AI
Hugging Face
Replicate.com
Cerebrium
Microsoft Azure
dat1.co
Zipcodestack
ModalNo Zipcodestack videos yet. You could help us improve this page by suggesting one.
Based on our record, Modal seems to be a lot more popular than Zipcodestack. While we know about 45 links to Modal, we've tracked only 3 mentions of Zipcodestack. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Using the zipcodestack API in your Node.js application is straightforward. Youโll first need to sign up for a free API key (it only takes a minute). Once you have your API key, you can call the REST endpoints using any HTTP client. Below is a simple example using Nodeโs built-in fetch (available in Node v18+), but you could use axios or any library of your choice:. - Source: dev.to / 10 months ago
Zipcodestack - Free Zip Code API and Postal Code Validation. Ten thousand free requests/month. - Source: dev.to / over 2 years ago
I have seen this request pop up quite a few times. I did a quick search for free APIs of zipcode lookups. This one, named "zipcodestack" (I'm not in any way tied to, endorsing, or promoting them) seemed like a pretty good resource with up to 10,000 free lookups each month. So, I wrapped a quick script around it and made it a custom sheets function called GET_CITY:. Source: about 3 years ago
If you've used E2B, Daytona, Modal sandboxes, or Cloudflare Sandboxes, the shape is familiar: REST API, Python and JS SDKs, exec / files / snapshot primitives. Here's what the Python SDK looks like:. - Source: dev.to / 2 months ago
The supported environments include your local machine, Docker containers, remote SSH servers, and two serverless options called Daytona and Modal. Daytona and Modal are the interesting ones for beginners as they handle all the infrastructure for you, and you only pay for compute when Hermes is actively doing something. - Source: dev.to / 3 months ago
TL;DR: If you just need to ship fast, E2B has the best SDK experience. If you need the fastest cold starts, Blaxel wins at 25ms. For GPU workloads, Modal is unmatched. For self-hosted control, Daytona is open-source with a managed option. For persistent long-running sessions, Fly.io Sprites gives you 100GB NVMe per sandbox. - Source: dev.to / 4 months ago
* dramatically increasing inference throughput on [modal.com](http://modal.com) meant I could generate 10s of thousands of tiles in a few hours at very little cost, allowing me to experiment much more rapidly This project continues to be a lot of fun, but Iโm now mostly focusing on the agentic workflows that power this kind of ambitious generation at scale. Canโt wait to share more soon. - Source: Hacker News / 5 months ago
Thanks for sharing this interesting project and approach! One suggestion for improvement: Add some more info to your website/GitHub about the need for a provider and which providers are compatible. It took me a bit to figure that out because there was no prominent info about it. Additionally, none of the demos showed a login or authentication part. To me, it seemed like the VMs just came out of nowhere. So at... - Source: Hacker News / 5 months ago
ZIP Code API - REST API for US ZIP, ZIP+4, and Canadian postal codes. Single unified endpoint covers address validation and standardization, radius search (centroid haversine and true spatial polygon intersection), point-to-point distance, autocomplete/typeah
e2b - Open-Source AI Powered IDE That Does The Work For You
PostalCodes.info - Postal code lookup API and downloadable country datasets for address validation, checkout, logistics and geocoding workflows.
Zerve AI - What if Jupyter + Figma + VSCode had a baby?
ZipCheckup - Check water quality, product recalls, energy rebates, and safety alerts for any U.S. ZIP code. Free reports powered by EPA and government data.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.