Yassine Charai

Product Lead @mobilefirstco | Previously Product @amoamoamo & @gopuff

[Yassine Charai @C_Yass97]

@Karim_RC @Karim_RC I don’t know if you ever saw Chronopost deliveries. That’s not hard enough 😂

[The Mobile-First Company @mobilefirstco]

The Allo MCP is live! You can now run your entire phone system straight from Claude, or any AI you use.

[Yassine Charai @C_Yass97]

This is crazy… it’s prohibited now to create products with retention in Europe?

If your product has crazy retention in Europe you can have problems 🙂

[European Commission @EU_Commission]

In the EU, social media platforms are accountable for their addictive designs.

Our investigation of Instagram and Facebook shows Meta has not adequately assessed the risks of features such as infinite scroll, autoplay, push notifications, and recommender systems.

Meta can now exercise its right to defence before these preliminary findings are confirmed.

https://t.co/OpJ4B0nS2W

[Yassine Charai @C_Yass97]

@pablogdcr Ouf !!

[Yassine Charai @C_Yass97]

@jose_goncalves_ You can go for https://t.co/PRdJvATbW6

[Yassine Charai @C_Yass97]

Masterclass!

[Marc Benioff @Benioff]

Welcome Salesforce Headless 360: No Browser Required! Our API is the UI. Entire Salesforce & Agentforce & Slack platforms are now exposed as APIs, MCP, & CLI. All AI agents can access data, workflows, and tasks directly in Slack, Voice, or anywhere else with Salesforce Headless 360. Faster builds, agentic everything. 🚀
#Salesforce #Agentforce #AI https://t.co/g67TxpNIpT

[Franco Pinto @franco_pinto_]

If your team isn’t generating a release poster with all the contributors, you are doing something wrong.

[Yassine Charai @C_Yass97]

🔥

[Will Ahmed @willahmed]

You have no experience.
You’ve never started a company.
You’ve never had a full time job.
Nike is going to kill you.
You’re a kid.
You don’t have technical skills.
You shouldn’t build hardware.
Apple is going to kill you.
You can’t build hardware.
You can’t measure heart rate non-invasively.
Athletes don’t care about recovery.
Under Armour is going to kill you.
It won’t be accurate.
You don’t listen.
You’re an ineffective leader.
You can’t recruit great talent.
You’re going to have to pay every athlete.
You can’t measure sleep non-invasively.
It’s too expensive to research.
Athletes are a small market.
The product costs too much to make.
The product costs too much to sell.
Your valuation is too high.
Consumers aren’t going to want it.
Hardware is too hard.
You should measure steps.
Fitbit is going to kill you.
You can’t build a marketing engine.
You can’t raise enough money.
You need a real CEO.
Google is going to kill you.
You can’t be a subscription.
You can’t build a brand.
You can’t do consumer in Boston.
Your valuation is too high.
You shouldn’t make accessories.
You shouldn’t make apparel.
Lululemon is going to kill you.
You can’t predict Covid.
Stay in your niche.
You are going to run out of money.
You can’t build a health platform.
Amazon is going to kill you.
You can’t measure blood pressure.
You can’t get medical approvals.
The market is too small.
You don’t understand AI.
The market is too competitive.
It won’t work internationally.
The supply chain is too complicated.
You can’t build an AI.
You can’t raise enough money.
It’s too competitive.
Healthcare isn’t going to want it.
…

Just keep going ✌️

[Yassine Charai @C_Yass97]

Building real conviction (# intuition) around what to build is the new bottleneck

[signüll @signulll]

the most underrated hire right now is a great product person.

when i say product person i'm def not talking about a product manager. perhaps i think there has to be somewhat of a new role. i don't have a good name for it yet but maybe something like "product thinker".. someone with an intuitive grasp of the product as it exists, where it's soft, where it sings, & how to iterate it toward something even sharper. in some sense, this person has to cohesively hold in their head where this product should be 2 years from now & work backwards from that.

i say this cuz when building was hard, engineering was the bottleneck & the status hierarchy often reflected that. building is no longer hard. which means the variance in outcomes has shifted almost entirely to judgment on what to build, how to sequence it, & how to talk about it.

& the story matters as much as the thing. internally, it organizes the team around a shared model of why. externally, it shapes the interpretive frame users bring to their first experience. you can't retrofit narrative onto a product & expect it to land, it has to be load bearing from the start.

the rarest version of this person sits at the intersection of culture & deep technology. someone genuinely bilingual. they know what's technically possible & they know which cultural currents are real vs. ephemeral. that combo is what separates products that feel inevitable from products that feel assembled.

before ppl clap back with this person has always been valuable, i know.. i am just saying now they might be the most *important* person in the room. their value compounds like never before.

[Yassine Charai @C_Yass97]

@arielmathov @geoffintech Or both! b2b PMs should already be revenue driven and getting technical is becoming easier. There are no excuses to be both business and technical

[Gonz @Gonza_Rascon]

🥵

[Yassine Charai @C_Yass97]

@karrisaarinen @linear Amazing ! Was waiting for it

[Yassine Charai @C_Yass97]

Amen! I see more people building the wrong thing 10x faster than the right thing 10x faster

The real leverage of AI is how you move 10x faster from intuition or Signal (through Data, user interview..) to real conviction.

[Ryo Lu @ryolu_]

software is still about thinking

software has always been about taking ambiguous human needs and crystallizing them into precise, interlocking systems. the craft is in the breakdown: which abstractions to create, where boundaries should live, how pieces communicate.

coding with ai today creates a new trap: the illusion of speed without structure. you can generate code fast, but without clear system architecture – the real boundaries, the actual invariants, the core abstractions – you end up with a pile that works until it doesn't. it's slop because there's no coherent mental model underneath.

ai doesn't replace systems thinking – it amplifies the cost of not doing it. if you don't know what you want structurally, ai fills gaps with whatever pattern it's seen most. you get generic solutions to specific problems. coupled code where you needed clean boundaries. three different ways of doing the same thing because you never specified the one way.

as Cursor handles longer tasks, the gap between "vaguely right direction" and "precisely understood system" compounds exponentially. when agents execute 100 steps instead of 10, your role becomes more important, not less.

the skill shifts from "writing every line" to "holding the system in your head and communicating its essence":

- define boundaries – what are the core abstractions? what should this component know? where does state live?
- specify invariants – what must always be true? what are the constants and defaults that make the system work?
- guide decomposition – how should this break down? what's the natural structure? what's stable vs likely to change?
- maintain coherence – as ai generates more code, you ensure it fits the mental model, follows patterns, respects boundaries.

this is what great architects and designers do: they don't write every line, but they hold the system design and guide toward coherence. agents are just very fast, very literal team members.

the danger is skipping the thinking because ai makes it feel optional. people prompt their way into codebases they don't understand. can't debug because they never designed it. can't extend because there's no structure, just accumulated features.

people who think deeply about systems can now move 100x faster. you spend time on the hard problem – understanding what you're building and why – and ai handles mechanical translation. you're not bogged down in syntax, so you stay in the architectural layer longer.

the future isn't "ai replaces programmers" or "everyone can code now." it's "people who think clearly about systems build incredibly fast, and people who don't generate slop at scale."

the skill becomes: holding complexity, breaking it down cleanly, communicating structure precisely. less syntax, more systems. less implementation, more architecture. less writing code, more designing coherence.

humans are great at seeing patterns, understanding tradeoffs, making judgment calls about how things should fit together.

ai can't save you from unclear thinking – it just makes unclear thinking run faster.

[Yassine Charai @C_Yass97]

@ben_cotte @openclaw 😅 and doing your laundries?

[Yassine Charai @C_Yass97]

@Sasi_taa @franco_pinto_ @TheGoillot what do you say 👀

[Yassine Charai @C_Yass97]

Get obsessed by your users.

[Yassine Charai @C_Yass97]

Product Management is not about prototyping half baked features it’s about user obsession.

[Yassine Charai @C_Yass97]

@matthieurouif This is amazing 😍
There is nothing more rewarding than empowering Small Businesses around the round!!
Sharing the same mission 🤝

[Yassine Charai @C_Yass97]

@joshm @joshm reading the job desc feels like what the Product Management job *should* be without the business part of it 🤔