The current version is a Chrome extension that allows you to turn the LinkedIn profiles of your target users into chatbots in 1 click. It collects information about them from various public sources in the background to complete their profile. You can ask both straight and speculative questions like "Which dev tools do you currently use in your engineering job?" or "Will my product solve your problem?"

What I have noticed is that not only can it answer my questions as reasonably as a real user, it exceeds them in clarity. It's like having your target user with you at all times.

In the future, I plan to write integrations that can pull data from analytics tools such as Posthog and add it to the user profile, if the user is already onboarded on your products/apps.

Give it a try and let me know what you guys think. I'd love to hear your suggestions and feedback.

Comments URL: https://news.ycombinator.com/item?id=40047249

Points: 3

# Comments: 1

All startups optimize for speed in all of their operations: deploying code, responding to API requests, loading the UI, and in background processes such as sending emails to users or processing data in an ETL pipeline. But the tools available to measure the performance of all these operations are separate and time-costly to integrate, in the first place.

Checkpoints App allows you to measure the speed of processes across your entire stack with minimal overhead and collects that data into a single dashboard. Integrating it into your tech stack is as easy as dropping a `print()` statement in your code, while you're writing it.

It comes with client-side Python, JS and Bash scripts. You drop checkpoint statements anywhere in the code, defining a process name and checkpoint name, for example: `./checkpoints.sh process1 checkpoint1` where process1 is your process name and checkpoint1 is your checkpoint name.

Once you've dropped checkpoints in your code. It will automatically create the process pipelines in your dashboard along with the speed metrics i.e, how long does it take, on average, to go from checkpoint1 to checkpoint2 . Then you can start optimizing for speed.

Another major problem I saw was that most lightweight tools out there let you measure performance in a single part of your stack, for example, you need to use Lighthouse in the front-end UI and CloudWatch for your backend API endpoints. With Checkpoints App, however, you can create tailored processes across your tech stack. For example, you can add the first checkpoint in your backend and the second checkpoint in your front end.

I'd love to hear your feedback. If you'd like to try this out, signup at the landing page and I'll send you the access.

Comments URL: https://news.ycombinator.com/item?id=33101008

Points: 5

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=26655542

Points: 5

# Comments: 2