Felix Tran 👾
978 posts

Felix Tran 👾
@felixtrandev
https://t.co/7pnkMyoHd8 - 3D mockup app screenshot
Earth انضم Ocak 2022
304 يتبع126 المتابعون

The next era of AI isn't just about writing code faster; it's about discovering entirely new ways to solve complex engineering bottlenecks.
@GoogleDeepMind's evolutionary coding agent, AlphaEvolve, is now deployed on @googlecloud, acting as an autonomous research engineer for enterprise infrastructure. Instead of just generating boilerplate, it systematically explores and refines algorithmic search spaces.
We are already seeing incredible empirical results in production:
Logistics: @BASFAgro achieved an 80% accuracy improvement over their existing supply chain models.
Core Systems: @jetbrains saw a 15-20% performance boost to their core IDE B-tree indexing stack.
Read the full technical reports on how these algorithms are evolving here:
🔗 JetBrains: blog.jetbrains.com/ai/2026/05/how…
🔗 BASF: cloud.google.com/blog/products/…
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@levie moving from 'which model should I use' to 'how do I manage all these models' ?
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The layer that can route to the best AI model for the particular job is going to increase in value substantially. There are at least 3 big reasons:
* Cost optimization: there are plenty of use cases where you need frontier intelligence for some tasks and something far cheaper for others. Even in the same task you may use frontier intelligence for planning and review of the work, but an OSS or cheaper model for the bulk of the workload. This is going to be standard across large buckets of work going forward.
* Capability maximization: despite the bitter lesson and models generally getting better in the same direction, there are still lots of differences between models. Some are better at tool use, others better at coding, and others again better at certain domains of knowledge work. The ability to route between these at different times is a huge advantage.
* Risk mitigation: while the Fable situation is somewhat of a black swan, it’s possible we’re heading toward a regulatory environment where governments may restrict models at different times based on their approval mechanisms or new things they discover. This means you’re going to want flexibility in being able to deploy workloads across different providers as a form of risk mitigation.
Ultimately, it’s going to increasingly be a a strategic advantage for the applied AI layer that they can effectively route between models. Will be very interesting to see how this evolves.
OpenRouter@OpenRouter
Introducing the Fusion API, the smartest compound model in the market. Fusion achieves Fable-level intelligence at half the price. How it works 👇
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@PratikSinhatwt Most are just fancy demos. The second you try to actually use them for a real task, they usually fall apart
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$16,000 in the last 30 days unlocked ✅
Meanwhile new onboarding on my iOS app helps gain reviews (shoutout to Mau Baron) 🙏
Reddit marketing slowed down a bit lately but still the main channel for me!
We keep working 🔥
Goal: $20,000 in the last 30 days



Arthur@arthuryuzbashew
$15,000 in the last 30 days Made a huge comeback on @mediafa_st GEO on B2C made me $2k Had morning training with an amazing breakfast Family is healthy, friends are amazing, right people are around Life is indeed gooood
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AI is about to wreck your SEO. Not because it writes bad content, but because it writes too much of it. 🧵
Every "AI SEO" tool on the market has one move: publish more. More posts, more pages, more thin content rotting in your sitemap until Google quietly stops trusting your whole domain.
That's not an SEO strategy. That's a slow-motion penalty.
So I built the opposite.
A daily agent on top of the GSC Wizard MCP that connects straight to your live Search Console data and obsesses over ONE thing: keeping your site lean, indexed, and clean.
It doesn't add. It curates.
Every morning it tells you:
→ Indexing status — what got crawled, what got dropped, what's stuck in "Discovered – not indexed"
→ What needs a harder push — auto-targets fresh internal links to drag borderline pages over the line
→ When a page finally indexes — it shifts the link equity to whatever's next in line
→ Deindexed content — flagged and rewritten, not left to rot
→ External link targets — weekly outreach goals set from the pages that actually move
→ Decaying content — catches the slow bleed before it falls off page 1
→ Dead weight — surfaces non-performing pages to prune so your crawl budget goes where it counts
The whole industry is optimizing for volume. Google rewards trust.
A clean 40-page site will outrank a bloated 400-page content farm every time. Pruning is the most underrated ranking lever there is — and no one's automating it because "delete pages" doesn't sell a content subscription.
This does.
No 4,000-word AI essays nobody reads.
No content graveyard dragging your domain down.
No Monday CSV archaeology.
Just a daily agent that pushes what's working, fixes what's slipping, and deletes what's dead.
Built 100% in Claude Code on the GSC Wizard MCP.
Want the full setup — the MCP, the daily prompts, and the 2 indexing landmines Google never warns you about?
Like this post
Comment "GSC WIZARD MCP"
And I'll send it over (must be following so I can DM)
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@AnthropicAI Wild that national security rules are now hitting specific AI model versions. Do you think this becomes the new normal for high end models?
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The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: anthropic.com/news/fable-myt…
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@danieldwalton thanks Daniel
app is available for download on macOS and iOS, you can check them out here
protato.app
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@felixtrandev looking forward to it
it's going to be insane
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60 places to launch your SaaS:
1. Product Hunt
2. Hacker News
3. BetaList
4. Indie Hackers
5. Reddit
6. AlternativeTo
7. StartupBase
8. There's An AI For That
9. ResourceFYI
10. Microlaunch
11. Uneed
12. Tiny Launch
13. Tiny Startups
14. Launching Next
15. SaaSHub
16. Futurepedia
17. Toolify
18. AI Scout
19. FutureTools
20. AI Valley
21 AI Top Tools
22. AI Tools Directory
23. Insanely Cool Tools
24. DevHunt
25. Peerlist Launchpad
26. Fazier
27. DevTo
28. Startup Stash
29. SideProjectors
30. Makerlog
31. Open Startup List
32. Startup Buffer
33. PitchWall
34. StartupsFYI
35. Startup Ranking
36. Startup Inspire
37. Killer Startups
38. Springwise
39. Betapage
40. Growtraffic
41. Dang AI
42. StackShare
43. Slant
44. TopAI Tools
45. HackerNoon
46. GetApp
47. SourceForge
48. All Things AI
49. Software Advice
50. Crozdesk
51. FinancesOnline
52. SaaS Genius
53. Tekpon
54. AlternativeMe
55. Serchen
56. SoftwareWorld
57. Business of Apps
58. AI Parabellum
59. Rank In Public
60. SaaS Directories
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@victor_bigfield Building Protato 🚀
Create App Store screenshots, social media visuals, and mockups without opening a design tool
protato.app
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@eglitisX Today’s milestone is someone else’s dream. Congrats 👏
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@Tobby_scraper GM 👋
Building Protato, a mockup tool for turning app screenshots into App Store assets and marketing visuals
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