Mr. Prompt

Ils ont décider de prendre la concurrence et la plier en deux ... Azi vous rendez fou higgsfield y’a trop de feature qui sortent !

Quelle est la meilleure année dans vos souvenirs ?

Toujours paq trouvé de candidat qui correspond aux critères. Contactez moi NOW si interessé (temp plein)

Je cherche un editeur/monteur vidéo pour monter 3 shorts/reels par jour pour l'un de mes clients, qui est un influenceur trading. Si disponible, envoyez moi un DM ✅ Prêt à payer dans l'immédiat. Besoin de 3 posts par jours 7j/7

@kiraacorp DM

@Mister_Prompt Hello j’espere que tu vas bien je suis dispo pour monter les ads, dis moi si t’es intéressé je t’envoie mon book par mail😊

@DeRonin_ goated

I automated my content engine and 2 hrs/day dropped to 10 min [ what’s new in v2 ]: - 9 platforms scraped while I sleep → 2,000+ topics/day - a 5-signal scoring brain that filters down to the 10 that matter - voice DNA writer.. same tone, different structure every time - a self-learning loop that remembers every approve and decline - profile DNA — knows exactly what goes viral on MY account v1 was a brain with no body v2 has eyes, a filter, and memory + fully automated Here’s how to build it step-by-step ↓ [ The architecture]: /content-engine ├── scrapers/ (9 platform scrapers) ├── extension/ (chrome ext for X, linkedin, reddit) ├── ai/ │ ├── ranker.py (5-signal scoring brain) │ ├── content_writer.py (voice DNA + structures) │ ├── profile_analyzer.py (your positioning DNA) │ └── sentiment_analyzer.py ├── publisher/ (export + time slot scheduling) ├── gui/dashboard.py (streamlit command center) ├── ingest_server.py (local server on localhost) └── data/content_engine.db (everything stored locally) let me walk you through each layer ↓ LAYER 1: Research engine 9 sources scanned 24/7 (X, reddit, YT, HN, github, trends + chrome ext for reddit and linkedin) every post you scroll past gets tagged and stored locally LAYER 2: Scoring brain every topic scored on 5 signals: - freshness (0.20) - velocity (0.25) - virality (0.25) - relevance (0.20) - uniqueness (0.10) velocity 8+ → forced min score of 7. catches late bloomers that suddenly explode 2,000 topics → top 10 ranked LAYER 3: Voice DNA writer not one structure every time. system picks the format: - short take - tactical playbook - QT contrast - contrarian - resource drop - proof post a voice guardian auto-rewrites anything that fails: lowercase ratio, no hashtags, no corporate words LAYER 4: Dashboard Streamlit dark theme. 5 tabs review queue = tinder for content. swipe approve, swipe decline LAYER 5: Publishing no auto-posting. zero account risk approve → pick a slot (8am / 12pm / 5pm) → exports a .txt → copy / paste / post also auto-drafts a linkedin version of every approved tweet LAYER 6: Self-learning loop every click logged. weekly the system embeds your decline notes and re-tunes the scoring brain month 1: you approve 30% month 3: 70% pre-filtered month 6: 10 min/day LAYER 7: Profile DNA analyzes your past tweets. tells you exactly which pillars, formats, and hooks perform best on YOUR account the scoring brain uses it to prioritize what already works for you daily run: open dashboard → 10 min reviewing → post 3x → close total cost: ~$15/month everything else: local, sqlite, no cloud, no subscription unfortunately I couldn’t paste in long-form format initial description which was made before but if this hits 2,000 likes I drop the full build guide with every prompt you need to ship it in claude code reply "ENGINE" + RT and I'll DM you access to test it (follow me first so I can write) save this so you don't lose it

@sphd__K gg

Comment récupérer les clips du jour des streamers, les télécharger, ajouter des sous titres, et les poster partout depuis chez vous, avec un abo Claude à 20$ par mois ~

@Jake_Joseph do it man ! You won’t regret it But lowered the price a lil bit

That video hit ~700K impressions in 24 hours. Now I'm considering something dumb. Or genius? You tell me. 😂

@maverickecom This is golden

holy fuck, a hair dryer at a Paris airport broke Polymarket weather markets & made someone $34,000 richer - polymarket was settling Paris temperature bets on a single Météo France sensor sitting near the Charles de Gaulle runway perimeter - basically unguarded - the guy bought the long-shot outcome (like "22°C" when everyone expected 18°C) for pennies, since nobody thought it'd hit - then he walked up to the probe and briefly heated the air around it with a portable heat source, spiking the reading just long enough to register as the daily max - temperature snapped back to normal in minutes, the market resolved in his favor, and he cashed out - twice, on April 6 and April 15, before Météo France caught on and filed charges hyperstitions.

> use Claude every day > think I'm pretty good at this > watch two Anthropic engineers for 16 minutes > Barry and Mahesh explain Skills from scratch > first 5 minutes > wait. Skills are just folders? > folders that remember your workflow? > your domain? your expertise? > pause. rewind. watch again. > think about every prompt I rewrote from zero > every context I explained 100 times > every session that forgot everything > it didn't have to be like this > 16 minutes. everything changes. > skill issue discovered

@SendShort Nice tool 👏

BREAKING: Today, we've put an end to clipping. I just watched my Mac produce 42 viral shorts in 186 seconds. This is beyond absurd.

@sphd__K go

Si j’ai la deter j fais un thread ce week end pr expliquer comment automatiser la recup de clip, le sous titrage Claude / remotion etc etc

Mettez vous à Claude & automatisez ça ceux qui ont la déter. c'est free monnaie

@rugbist_ @heyshrutimishra yes it is

@heyshrutimishra the coding ai arms race is actually getting scary now. we might be out of a job sooner than we thought

OH MY GOD 🤯 CHINA JUST MATCHED USA FRONTIER CODING AI AT 40-60% LOWER TOKEN COST. XIAOMI JUST DROPPED MiMo-V2.5-Pro scores 73.7 on SWE-Bench Pro (Claude Opus 4.6 is at 77.1). it's solving problems that would take human experts WEEKS and it built a complete compiler from scratch in 4.3 hours with 672 tool calls. Also, designed an 8,192-line video editor in 11.5 hours autonomously. The model sustains 1,000+ tool calls without losing coherence. 73.7% on SWE-Bench Pro. Approaching Opus 4.6 at 40% fewer tokens. This isn't incremental improvement. It's China rewriting what "agentic AI", coming open source soon.

Introducing ChatGPT Images 2.0 A state-of-the-art image model that can take on complex visual tasks and produce precise, immediately usable visuals, with sharper editing, richer layouts, and thinking-level intelligence. Video made with ChatGPT Images

Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude. Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.