Ramanjit Singh
1.4K posts

Ramanjit Singh
@ItzRamanCoder
Building Luna - the AI Chief of Staff that remembers your life and tells you what you're about to drop. DM for Beta.


Supermemory has raised $3M in pre-seed funding to build the best memory engine for agents. Agents needs to be personalized. They need to learn and grow with the user. They need memory. And that's the future we're building today. x.com/DhravyaShah/st…



new @lovelee_app update is live i added a shared whiteboard, sound effects, haptic feedback when playing with your pet piggy, 5 new multiplayer mini games to play with your partner and like 25 other things you’ll just have to open your app to see :)


An update on my AI avatar that's taken over my social media video content: The account has grown to 48.4k followers and racked up 7 million+ views. But the most interesting insight from this experiment hasn't been the growth, it's been the *unexpected* near-zero backlash. When I started this experiment, I was preparing for the criticism *I thought* I would get for delegating my face + voice to an AI avatar. I disclosed that it was an AI avatar (of myself) everywhere: Tags, descriptions, comments, and even in the videos themselves. But people just don't care, as long as the content delivers value. The truth is, my team and I still spend hours doing research, writing/scripting, and editing these videos. In a nutshell, the workflow is: Newsletter/tweets → Script → AI avatar generation → Edit 1 → tweak avatar → Final edit Ironically, recording myself might be faster (we often regenerate the avatar multiple times to nail certain words). But here's the thing: my avatar is way better than me on camera. And that is my point. The end result is all that matters. As a content creator, you need to do everything in your power to serve your audience in the most impactful way possible. By delegating my face/voice, I can focus on what I'm actually good at – finding interesting stories and writing about them. If you're against using AI, it's like trying to beat someone with a calculator at a math competition.


Why startup founders fail: 1. Build something nobody wants 2. Don’t know how to get customers 3. Give up too early And how to fix it: • Build one feature • Ship fast • Kill faster


some random ai thoughts: - for code, i went from 80/20 claude/gpt to 80/20 gpt/claude in <3 months. surprised by this tbh, and interested to see where the split is at in another 3mo. - claude still mogs gpt for non-coding agent stuff. codex feels like an engineer (which is great for coding!), whereas claude still feels like a general purpose coworker. gpt still lacks that coworker magic - i’m pretty meh on opus 4.7. my experience hasn’t been *bad*, but it certainly hasn’t been good. sideways if anything. - anthropic has got to figure out the compute thing. you can feel it as a user. vibes are all out of whack bc of it. my opinions above are all likely downstream of this. it’s an issue. - anthropic labs continues to be the goat of ai product. claude design is another hit. it’s fantastic. idk why it’s not talked about more? a+ - updated claude code app is great. i finally switched out of the terminal for it. very well done. - how are people STILL sleeping on the claude agent sdk? i feel like i’m going insane. - gpt 5.5 is incredible. the level to which i trust it for engineering is amazing. if i could only have one model rn, it would be this one just bc of strong need for the coding use case. - codex team is killing it. app has been the gold standard since 5.3 release (buuut i credit conductor team for the ui innovation that everyone is using now). though i could do with a little less passive aggressive shots at ant from the codex team. TARS, dial up class by 30%. it’s a long race guys haha - i uninstalled cursor this month and am now back to vs code for my ide. composer just can’t hang with claude/gpt, and the product feels a bit all over the place. pretty stoked about the xai thing though, because their team is absolutely stacked and i’m excited to see what they might be able to do with that compute. codex and claude code are t1, cursor is t2. i would love if this deal got xai/cursor to t1 for a real trio there. - gemini…? seems like this is 2-3 models now where the model seems like a great release and then nobody ever uses it? i’m bullish google/deepmind but weird it hasn’t translated to product use in any form. kinda disappointed still - no open source models have hit the opus 4.5 level. was hopeful the new deepseek would get there, but nope. good oss agents will have to wait a few more months it would seem…

