This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).

Product upvotes vs the next 3

Waiting for data. Loading

Product comments vs the next 3

Waiting for data. Loading

Product upvote speed vs the next 3

Waiting for data. Loading

Product upvotes and comments

Waiting for data. Loading

Product vs the next 3

Loading

HaaS by OpenComputer

Deploy agents like serverless functions

Write an agent as a TypeScript function. Deploy it. We run the loop, the sessions, the streaming, the versions.

Top comment

Hi PH - today, we're launching "HaaS" or harness as a service.

We believe that more and more folks would be running their agents in the cloud, and for much longer as models get increasingly capable to take on ambitious tasks.

Harness as a service by OpenComputer allows users to define agents as code - Think PR reviewers, incident triage, or drift detectors that work in the background.

Start from a template, or build your own and share it with one click deploys. What would you run as a background agent?

About HaaS by OpenComputer on Product Hunt

β€œDeploy agents like serverless functions”

HaaS by OpenComputer was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #42 on the daily leaderboard. Write an agent as a TypeScript function. Deploy it. We run the loop, the sessions, the streaming, the versions.

On the analytics side, HaaS by OpenComputer competes within Software Engineering, Artificial Intelligence and GitHub β€” topics that collectively have 563.4k followers on Product Hunt. The dashboard above tracks how HaaS by OpenComputer performed against the three products that launched closest to it on the same day.

Who hunted HaaS by OpenComputer?

HaaS by OpenComputer was hunted by Utpal Nadiger πŸ‘‹πŸ“ˆ. A β€œhunter” on Product Hunt is the community member who submits a product to the platform β€” uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of HaaS by OpenComputer including community comment highlights and product details, visit the product overview.