Alexandre Becker

@mattkahn1966 @grok explain what is Julian Simon versus Paul Ehrlich's The Bet

An interesting thread about our new paper. The climate change challenge represents Julian Simon versus Paul Ehrlich's The Bet (Round 2). I am in the Simon camp. Economic Growth, markets and human capital accumulation together fuel our global resilience. (1/2)

Product sense isn’t talent. It’s a gym routine. Do reps, gain instincts. I’ll teach you in 3 minutes what took me 8 yrs. The system: regular feature analysis with prediction tracking. 1. Pick one feature from any successful app. 2. Document your strategic hypothesis. 3. Predict their next observable move. 4. Verify in 4 weeks through public signals. Example: Spotify wrapped feature → Hypothesis: "Spotify built Wrapped to drive social sharing during December when music discovery peaks and holiday playlist creation happens." Strategic intent: viral growth through UGC, retention spike, brand visibility. Business model tie: free user acquisition without paid spend. Prediction (what you write today): "They'll expand Wrapped beyond music - add podcasts, maybe audiobooks. Launch earlier each year. Create mid-year version to test retention impact." Observable signals to check: app updates, blog announcements, social media buzz. Four weeks later - verification: Check app changelog: Did podcasts appear in Wrapped? Check Spotify blog: Any mid-year campaign announced? Check App Store: Feature updates mention Wrapped expansion? Check social: User screenshots showing new categories? Your prediction accuracy compounds. The six exercises that build pattern recognition: 1. Strategic teardowns: why THIS feature, not alternatives? 2. Next move predictions: what ships in 30-60-90 days? 3. Business model mapping: how does this monetize? 4. Competitive response: what will rivals copy? 5. User psychology: what behavior change do they want? 6. Failure prediction: what could kill adoption? Real patterns you'll recognize after 30 reps: - When companies add social features, they're fighting retention decline. - When they remove features fast, instrumentation showed zero usage. - When they A/B test UI changes slowly, there's low confidence in the hypothesis. - When they ship fast without testing, they're responding to a competitive threat. The typical pattern: PMs wait years for intuition to "click." Then they document 30 strategic hypotheses. Track predictions against observable outcomes. Pattern recognition accuracy doubles by day 90. The verification sources (all public): - App Store changelog: "What's New" section shows iterations - Product blogs: feature announcements, strategic updates - App rankings: trending features drive ranking spikes - Review sentiment: users call out what works/breaks - Press releases: major strategic pivots - Version history: expansion vs pullback patterns Start today: 1. Pick Notion, Linear, or Figma. 2. Find one feature launched in the last 60 days. 3. Write why you think they built it. 4. Predict what they'll ship next. 5. Set calendar reminder for 4 weeks. 30 documented predictions = noticeable pattern recognition. 90 days = your prediction accuracy doubles. hit the next tweet for some useful templates: 👇

@juanbenet @Filecoin Well done Juan!

Happy 5th @Filecoin! 🥳🎉💿 Amazing to see all the achievements over the last 5y! - Massive scale: largest decentralized storage network - Programmable storage: FVM + FOC services - App/Services Platform: onramp businesses - Ecosystem Dev: FIPs, Upgrades, Teams, PGF - 23 EiP - 2.2 EiB of data - 262M txns - 2.7M blocks - 175K contracts - 4.9M addresses To another great 5 -- see you in 2030!

@alexd Well I loved it but don’t count on my small audience to go viral 😜

Was proud of this one, but it didn’t get viral unfortunately 😂

The biggest victim of AI isn’t jobs or creativity. It’s poor old Lorem Ipsum, who just lost a 2,000-year gig filling empty text boxes.

Le reste du monde nous regarde ébahi Pendant que nous nous enfonçons dans le déni

La ligne 14 a été inaugurée il y a quelques semaines, une bonne nouvelle pour les Francilien·nes ! Mais comment rejoindre les nouvelles gares, le vélo a-t-il bien été pris en compte ? Voici notre évaluation⤵️

@nassigny @EmmanuelSPV À quand une exposition photo par @EmmanuelSPV ? L’idée donne envie 😊

Willy Ronis, c'était un peu l'@EmmanuelSPV des années 80 quand même

@OlivierRazemon Quel dommage… Merci @OlivierRazemon d’avoir tant apporté !

[Blog] "Ce blog se termine, douze ans après le premier post. Chers lecteurs, j’ai vécu grâce à cet espace en ligne, et grâce à vous, une longue et belle histoire, mouvementée aussi. Merci à chacun d’entre vous." lemonde.fr/blog/transport…

La RATP, ou l’art d’être à l’âge préhistorique de l’achat de billets. Des automates lents, plus de la moitié en panne depuis des mois à la #garedunord entrée rue Maubeuge. Résultat, des files d’attente systématique et 0 remise en question 😤😤😤 @ClientsRATP @Plusdetrains

@e_petit Pour l’instant les réponses ont l’air très partagées. La preuve que c’était une bonne question :)

Si un indice boursier a eu une performance de 10% annualisée sur le long terme. Quelle est la moyenne de la performance annuelle ? (Sur le même long terme)