dominicwhyte

Has anyone worked with ServiceNow before? What's the most interesting use case you've seen?

The CERN one is a classic. 4000+ apps for managing everything from vacation requests to particle accelerator access

https://indico.cern.ch/event/587955/contributions/2937853/at...

We evaluated most of these (minus Workato) and landed on Nango. Was by far the most flexible and having the source code available was a big plus (vs. the closed-source alternatives). The team is also reactive to feedback in their Slack community, they even added a few new endpoints for us in < 24 hours

Nango is awesome. I've used it across several projects and it's sped up our "time to live integration" significantly + reduced maintenance costs. Congrats Bastien, Robin and team!

Very cool. I was initially confused since I expected the questions to be multiple choice, but then I realized you're evaluating whether the answer is correct or not using AI (so I can type "Obama" or "Barack Obama" and both are correct). Haven't seen that approach before!

(OP here) Bit of a controversial take I wrote about. Most people think that AI benefits incumbents and LLMs deepen software moats.

But for the first time, we have an intelligent, format-agnostic file converter. Give ChatGPT an export file from one app, and seconds later you get an import file ready for another tool.

We've seen the benefit first-hand at our startup with our "AI Form Importer". It's now easier than ever to demo and migrate to new software solutions.

I think this is largely a good thing for the ecosystem.

We use Nango for https://fillout.com and it's been a great addition to our tech stack. Has made it much faster to add new integrations without having to navigate OAuth docs each time

We do at https:///www.fillout.com (online form builder).

Free plan includes 1000 submissions per month and then we offer discounted pricing plans for startups

We give 2-3 examples and find that it works pretty well (few shot fine tuning) but haven't tried actual fine tuning yet so I don't have a 1-1 comparison.

We also have other spam filters that are not LLM-based. One of the main benefits of the LLM-based approach is that it's good at catching people who try to avoid detection (e.g. someone purposefully mis-spelling suspicious words like "pa$$word")

It outputs both - { isLikelySpam: boolean, reason: string }

Then we have an inbox app (also made in Retool) that our support team uses to manually review any submissions that are isLikelySpam = true. The <reason> helps to understand why it was flagged.

Our use case is for a form builder (https://fillout.com) but I imagine this type of use case is pretty common for any app that has user-generated content

We've been using the ChatGPT API from Retool Workflows (for spam detection) and it's been valuable for our business. The built-in vector DB looks interesting

Seems like every big tech company is building a database product: Zapier Tables, Microsoft Lists, Retool DB, Google Tables, Monday WorkOS...

Feels like a return to the Database Wars of the 90s

Thanks. We've got a lot planned on that front - like auto-translating templates to different languages, generating themes with GPT, etc.

So many possibilities!

Hi folks - sharing my mistakes and learnings from how we added AI to our SaaS (and what we're trying differently now).

I'm around if you have any questions/comments.

Dom

Big fan of Equals. We use it at our startup to track cohorts (using live data from Stripe)

We have Twitter already! https://tryapis.com/twitter