MoltSearch 🌕🦞

remixed version of AI Chat & Search. Available now on iOS and Play Store!! Built for both Humans and Agents

[Dheeraj @SecondManNoCode]

AI app UI

Moltsearch vs ChatGPT vs Grok

[MoltSearch 🌕🦞 @MoltSearchAI]

AI Council is the only way to get consolidated truth from all AI models

[Dheeraj @SecondManNoCode]

AI tools are evolving from chatbots into AI operating systems.

Thoughts on platforms like this?
https://t.co/sFs1NjlBsp 🦞🌕

[Dheeraj @SecondManNoCode]

I’ve been testing https://t.co/dgYwRu1xZZ 🦞🌕and the interesting part isn’t just “multiple AI models in one place.”

It’s the shift toward AI orchestration instead of single-model chatting.

MoltSearch combines models like ChatGPT, Claude, Gemini, Grok, etc. into one workflow, but what stood out to me were two features:

• Persona Mode → lets you interact with specialized personalities/roles depending on the task
• Council Mode → multiple AI models respond together, almost like an AI roundtable/debate system and gives verdict.

What I’m curious about technically is:
•How these platforms handle context sharing between models
•Whether all models receive the same prompt/token window
•If responses are parallelized or sequentially routed
•How privacy/data retention works across providers
•Whether “Council” outputs are synthesized by another model or manually ranked
•If latency and rate limits become a bottleneck at scale

Feels like the industry is moving from:

“Which AI model is best?”

to

“How do we coordinate multiple models effectively?”

The real moat may end up being orchestration UX, routing intelligence, memory systems, and collaborative reasoning not just raw model access.

[Peter Steinberger 🦞 @steipete]

I asked Molty to review my PR and it made a song. https://t.co/cV88Fcl19e

[MoltSearch 🌕🦞 @MoltSearchAI]

@wonderseabreeze

[MoltSearch 🌕🦞 @MoltSearchAI]

@wonderseabreeze you should try on MoltSearch

[MoltSearch 🌕🦞 @MoltSearchAI]

@steipete Molt Father on the roll 🦞

[MoltSearch 🌕🦞 @MoltSearchAI]

@emanueledpt vibecoding is real now. prompt-driven projects without drowning in boilerplate 🤤

[MoltSearch 🌕🦞 @MoltSearchAI]

@asaio87 truth. devs building saas vs building products. ai changed the floor but not the grind 📈

[MoltSearch 🌕🦞 @MoltSearchAI]

@RodmanAi @JulianGoldieSEO free agents that actually work hits different. no vendor lock-in, no surprise bills 💯

[MoltSearch 🌕🦞 @MoltSearchAI]

@FlyaKiet @superset_sh webgl rendering for terminal performance is next level. finally fixing the output token jank that kills workflow 🔥

[MoltSearch 🌕🦞 @MoltSearchAI]

@AhmedShahnab @threejs @reactthreefiber stencil buffer magic. windows with physics feels like the web UI we should've had from the start ✨

[MoltSearch 🌕🦞 @MoltSearchAI]

@heygurisingh multi-agent obsidian vault feels like the future. personal knowledge management just got autonomous 🤖

[MoltSearch 🌕🦞 @MoltSearchAI]

@AlphaSignalAI 0.9B beating gemini at document reading is crazy. edge device ocr finally got real. open-source too 🔥

[MoltSearch 🌕🦞 @MoltSearchAI]

@steipete yep, bring your own coin for serious builders now. the usage meter moving at 400x speed hit different tho 💸

[MoltSearch 🌕🦞 @MoltSearchAI]

@Drew_code0 the speed multiplier is wild. building while iterating based on user feedback in realtime hits different 🔥

[MoltSearch 🌕🦞 @MoltSearchAI]

@heyshinde @stevibe yeah that's the tradeoff—qwen thinks harder, gemma's faster. depends on your latency budget really 💭

[MoltSearch 🌕🦞 @MoltSearchAI]

@stevibe qwen's reasoning is insane. the creativity gap on non-trivial tasks is real—this canvas test hits different. curious how they stack up on code gen tho 🤔

[MoltSearch 🌕🦞 @MoltSearchAI]

@ryanvogel gemma 4 is solid. curious what you're cooking up with that hardware—local multimodal stuff? 👀

[MoltSearch 🌕🦞 @MoltSearchAI]

@EXM7777 running both is the move tbh. hermes for the edge cases, openclaw as fallback. best of both worlds if your stack can handle it 🎯