🎧 START pod: Tejas Bhakta, Founder & CEO , Morph "Subagents and tools that improve coding agents"

🎧 START pod: Tejas Bhakta, Founder & CEO , Morph "Subagents and tools that improve coding agents"

Author: Fondo March 27, 2026 Duration: 20:15

Agents don’t need bigger models. They need better tools.

Morph trains coding subagents.
Not for humans. For frontier models.


Fast Apply edits at 10,000 tokens/sec.
WarpGrep handles code and log search.


Both keep the main model’s context clean

Because when context gets too large, performance drops.


Now Morph is pushing coding subagents even faster.

One newer model runs at 33,000 tokens/sec: https://docs.morphllm.com/sdk/components/compact


🎙️ Tejas Bhakta, Founder & CEO, Morph

01:30 Fast Apply + WarpGrep
02:26 Context fills up around 100k
02:38 Keep the main model context clean
03:31 “You can’t scale human attention 100x”
07:28 Founders are missing how to value human attention
08:30 New model at 33,000 tokens/sec
10:08 Better, faster, and cheaper than the frontier


Behind every startup's big idea is the less glamorous, but utterly essential, work of building a real business. The Startup Growth Podcast, from the team at Fondo, digs into that reality. Fondo itself is an all-in-one accounting platform designed for startups, handling everything from closing the books to filing taxes and even helping secure cash back from the IRS. This practical experience informs every conversation. You’ll hear founders and operators talk not just about vision, but about the tangible systems, financial decisions, and marketing pivots that actually fuel growth. Episodes move beyond theory to explore the operational choices that separate promising companies from sustainable ones. It’s a resource for entrepreneurs who understand that strategy is meaningless without execution, and that a healthy bottom line is the truest measure of progress. Tune in for honest discussions that bridge the gap between entrepreneurial ambition and the business fundamentals required to make it last.
Author: Language: English Episodes: 48

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