I can only speak for my own mind ;) but the most advanced thing I'd seen prior in this regard was Google Sheets' =AI function, which is pretty convenient (if awkward) when you want to map values to LLM output.
What I specifically found "mind-bending" about this is that I don't have a clear concept of the limits of what an agent can do. In the limit case, it's basically like an independent employee, right?. So the concept of having a dedicated person sitting on each row of my database and transactionally performing any task I can describe is ... well, it IS a bit boggling to me.
Another way to look at it is: this is an extremely powerful construct for managing fleets of agents. I trust Postgres to execute all the stored procedures I ask it to. So with this tool I can easily spin up arbitrarily many agents. And state management is very simple, because they can directly edit their associated row!
IDK, the more I think about it the more fascinated I am. I'm sure there is some open source SAAS or something that has similar semantics and can do all this more efficiently, but now I know that this is a category of thing one could potentially build/use. Pretty nifty!
ok nice reply. i think i was where you were in 2021 around doing stuff in sprocs. i think pple generally follow a cycle of going overexcited about throwing everything in the database and then going "actually the database is a pretty bad production compute environment" and re-separating concerns back to different levels.
use sprocs lightly for simple fast stateless things. every other attempt at stuffing a lot of compute into the database that i'm aware of has basically failed to gain adoption (the personal awesomeness/happiness of the guy who created it aside)
[Editor here] happy to answer any questions! this was a great/fun piece to put together to help ease engineers in to the general field of AI for Science
if you were an experienced/mature tech employee you should probably know that there are real HR reasons why companies are strongly advised not to give too much information in a rejection email. there is only ever downside. your reaction here is a potential red flag.
i'm sympathetic to you, it sucks, why cant we all be nice to each other, and my answer to that all is lawyers.
Polarr's Mission: For over a decade, Polarr has provided photographers with intelligent, intuitive AI-powered tools for photo and video editing, culling, and workflow automation. The company pioneered web and mobile photo editing apps and powered photo enhancements on hundreds of millions of devices through edge AI SDKs. Pixieset is a Vancouver-based all-in-one SaaS platform serving over 600,000 photographers with client galleries, websites, and online stores. Polarr is a San Jose-based startup that has built a community of creators with AI-powered editing tools and a catalog of over 1 million filters generated monthly. 1
Founding & Early Years
Polarr was founded in 2014 by Stanford graduate Borui Wang and Derek Yan. The company launched its online photo editor in February 2015. The app achieved remarkable early traction, receiving 250,000 downloads in its first 48 hours.
Product Evolution
• June 2015: First mobile version of Polarr Photo Editor released
• Fall 2015: Launched Polarr Photo Editors for Windows 10 and macOS
Polarr was named Apple's Best of the App Store for 2015 and 2016.
• December 2017: Released Album+, an app using on-device AI to organize photos
• March 2019: Announced $11.5M Series A funding round led by Threshold Ventures. Other Investors: Threshold Ventures, Cota Capital, Pear VC, StartX, and ZhenFund
• April 2022: Launched Polarr 24FPS app for video editing with Polarr filters
• January 2023: Launched Polarr Next, an AI web app that learns user style for automatic photo updates
• 2023: Introduced Polarr AI Copilots (beta) for transforming text into photos, videos, and designs
Public revenue figures for Polarr are not disclosed. However, the company demonstrated strong early traction:
• 4 million Monthly Active Users (MAUs) as of 2019, with only 30% based in the US
• Enterprise partnerships with major OEMs including Samsung, LG, Oppo, and Lenovo, whose native camera apps integrated Polarr's technology
• Enterprise value estimated at $46–69M as of recent valuation data
The company operates a freemium model with premium subscription tiers ($2.39/month for filter storage and premium filters, $4.79/month for all features), but specific ARR or annual revenue figures have not been publicly released.
There's a few open issues/PRs that I'm working on getting in! Feel free to drop any request there (it's the best way for me to track it).
For UNREAD messages... Sadly, I'm not sure that Slack has an official API for that. There may be an "unofficial" API there that we could discover, but I'm hesitant for adding support there.
With that being said, it's not that I wouldn't entertain the idea (it would be REALLY useful) but it would require a bit more thought.
thanks yeah... am a total noob to the api so have no idea but i guess just based on principle if you can see everything the slack webapp sees then it stands to reason the info about the unread messages is SOMEWHERE in there
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