rbatista19
Joined 3 years ago
Joined 3 years ago
cloro is one API for search and AI answers. You send a query, we return Google, Google News, ChatGPT, Perplexity, Gemini, Grok and Copilot results as structured fields: the answer, the sources it cited, and the position each result held. Teams use it to measure whether their brand shows up in AI answers, and to stop maintaining eight scrapers that break whenever a provider changes its markup overnight.
We are bootstrapped, remote across EU timezones, and small enough that every role below works directly with the founders.
Open roles:
* Founding Engineer | $80k-150k | backend and infra, heavy on large-scale collection. https://cloro.dev/careers/founding-engineer/
* Data Scientist | $60k-100k | turn our AI-search corpus into published research and track the engines as they change. https://cloro.dev/careers/data-scientist/
* Founding Operations | $50k-80k | finance, ops, marketing and product systems. An all-rounder role for someone who would rather build a system than run a task twice. https://cloro.dev/careers/founding-operations/
* Founding Marketer | $40k-70k | own SEO, content, and visibility in AI search. https://cloro.dev/careers/founding-marketer/
We work AI-native: Claude and Claude Code are in the loop daily across engineering, ops and marketing. Being genuinely good with these tools is part of the job rather than a bonus.
Luckily we found a much better solution, something that actually sources with reasoning, and gets us real contact information (not crappy InMails).
- First, build an awesome profile (at least you think it is, but then you iterate 1000 times)
- Then, search for keywords (yeah, some of them are pretty bad, but after 20h you get which ones work)
- Now, time for filtering the bad posts, and the fake ones, and then finally you get a decent one - but it has 30 applicants already.
Does this sound familiar?
UpWork and others do a bad job at filtering and matching, so we scratched our own itch and built gigsent(.)com.
Our plan is screen, curate and help in the application. We only did the first two, so next is:
- Incorporate more sources (freelancer.com, reddit, etc.)
- Generate personalized application answers (still talking to users on how to best do this)
We are still in early stages so feedback is super appreciated.
P.S.: We would love to have shared this for free, but scraping + filtering + matching is SUPER expensive (we barely make any money out of each subscription).
Agree on the private sector as well, small steps!
It's a bit a chicken & egg problem: for the traffic to pick up and have contributors, we need to start by adding some content - some of which we have already gone through and fixed it, other not yet there.
We will get there over time, and work with providers that can also bring the quality up!