Co-founder & CEO Building AI that saves R&D engineers 20-30% of their week. Lessons from failed startups, customer interviews & product craft.
Barcelona
Joined December 2008
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Artem Loginov retweeted
2 years of testing FSD Supervised all over Spain
Across 460,000 km, we have seen it all
Artem Loginov retweeted
Lots of people discuss immigration & crime in Europe, so I compiled what I think is ALL the data on the topic, which is hard because many countries hide it.
Do they commit more crime?
Is it because of age? Sex? Education? Poverty? Culture?
1. Sexual offenses & violent crime:
let's go! please, vote for Wicely! producthunt.com/products/wic…
🚀 We’re live on Product Hunt today!
After months of work, we’re launching Wicely and would really appreciate your support.
If you can, please check it out, upvote, leave a comment, or share it with someone who might find it useful.
producthunt.com/products/wic…
Thank you! 🙏
A few months ago I was running a demo for an R&D lead at a food manufacturing company. Mid-session, I asked what their current monitoring process looked like.
This is a highly trained engineer, the kind of person who should be interpreting findings, not hunting for them. Somewhere along the way, the manual work became part of the routine. Just because it had always been that way.
R&D teams waste weeks tracking patents, papers and industry trends manually.
We built Wicely to cut that to hours.
Quick walkthrough: product lines → tech mapping → automated monitoring → actionable reports.
Here's a 5 minute product demo:
"Why are you building for ISO 27001 compliance when you only have 3 customers?"
Because retrofitting security is 10x harder (and more expensive) than building it right from the start.
Thread on building enterprise-grade from day 1 🧵
The cost:
~20% slower initial development
More architectural discussions
Can't take shortcuts
More documentation
The payoff:
Enterprise customers trust us early
No "security debt" to fix later
Easier to fundraise (investors like seeing this)
Certification will be straightforward when we're ready
The question isn't "Is ChatGPT useful for R&D?"
It absolutely is.
The question is: "Is ChatGPT enough for R&D?"
And the answer is no.
R&D teams need:
– Systematic data collection (not ad-hoc chats)
– Team collaboration (not solo conversations)
– Memory that compounds (not context that resets)
– Full data sovereignty (not training data for OpenAI)
Generic AI is a starting point, not a solution.
Building Wicely for teams who've hit ChatGPT's ceiling.
Have you hit this ceiling yet? What was the moment you realised you needed more?
'¡Denúnciame! ¿Qué te impide! ¡Hazlo ya!'
Esto me lo gritó hoy un comercial. Por teléfono. Sin mi consentimiento. Una de tres llamadas spam que recibí un día hace un par de semanas.
Vamos mal.
Abramos debate: ¿cómo frenar/gestionar esto mejor? ¿Bloqueos? ¿Un secretario IA que filtre todas las llamadas? ¿Lista pública de empresas que usan estas prácticas delictivas? Compartid vuestras opiniones.