Varun Mohan
28 statements across 2 episodes · 10 bullish · 8 bearish · 2 people on the record · first statement Dec 13, 2024 by Varun Mohan · said 13 times in 4 episodes since 2025 · across every show →
On the record as a speaker too: Varun Mohan's record, appearances and statements → this page counts the times other people say the name.
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brought up most by Shawn Wang (4), Lance Martin (3), Joubin Mirzadegan (3)
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2026 3 mentions in 2 episodes 2 per episode
Everything said about Varun Mohan, oldest first
Dec 13, 2024 negative
Mohan: Codeium will never launch a product with a waitlist
“We, by the way, we will never launch with a waitlist. We will never launch with a waitlist. That's the thing at the company. We'd much rather be a company that's considered the boring company than a company that, that launches once in a while, and like, hopefu…”
Dec 13, 2024
Dec 13, 2024 negative
Mohan: Monetizing individual developers is flawed due to low switching costs
“I think that right now optimizing for making money off of individual developers is probably the wrong, actually, strategy. Largely because I think individual developers can switch off of products, like, very quickly, and unless we have, like, a very large lead…”
Jul 28, 2025 neutral
Mohan: Codeium scraped public code because The Pile was too small
“We ended up basically using a lot of open, I guess, permissively licensed code in the public internet, mainly because I think also the pile is, is fairly a small subset. I think maybe after we started, there was the stock that was also came to be, but for us, …”
Jul 28, 2025
Varun Mohan: Codeium serves individual users and large enterprises with the exact same system
“When we're serving these products in an environment that works for these large enterprises, we're not going out and being like, we need to build this custom system for you guys, right? This is the same system that serves our entire user base.”
Jul 28, 2025 neutral
Mohan: Codeium will not expand outside code into legal AI anytime soon
“So it's probably going to be a while before we even consider leaving code. Like that's going to be a big step because the amount of learning we need to do is going to be high. We need to get users, right? We've learned so much from our users already. So yeah, …”
Jul 28, 2025 neutral
Jul 28, 2025 negative
Jul 28, 2025 positive
Mohan: Codeium to build embedding database infrastructure in-house
“I will just say for us, we will probably just build this in house to start with. And that's because I think the technology probably isn't there yet. And I think if the technology isn't there yet, like waiting on point solutions to come up is a lot harder than …”
Jul 28, 2025 neutral
Mohan: Few products match Copilot due to compute-intensive low latency
“There's like a gap there where the number of products that have hit that co-pilot spot is actually not that high. A lot of them are kind of like wait and, you know, just generate a lot of stuff and see what happens because one is clearly more compute intensive…”
Jul 28, 2025 bullish
Mohan: Automated PR generation will require specialized models trained on diffs
“A lot of things people are excited about right now are I write a comment and it generates a PR for me. And that's like really awesome in theory. I think that's like a really cool thing. And I'm sure at some point we will be able to get there. That will probabl…”
Jul 28, 2025 positive
Mohan: AI startups should bootstrap on existing APIs unless fine-tuning on large datasets
“Unless you are, you probably should always bootstrap on top of an existing API, right? Because like, even if you were to, the only reason why we didn't is because we knew that this product was actually buildable. Probably if we worked hard enough to train a mo…”
Jul 28, 2025 bearish
Mohan: Current vector databases are unviable for terabyte-scale retrieval
“I'm actually not convinced that the current breed of embedding database companies are like ready for what the future sort of looks like, because I think I'm just looking at their pricing, how much it costs per gigabyte, and it's prohibitive at the scale we're …”
Jul 28, 2025 positive
Mohan: Codeium bootstrapped with open-source models before training custom FIM models
“Early on, we were able to leverage open source models, sort of bootstrap it internally within our company. But then to ship, we finally had some requirements like, Hey, we want this model to have fill in the middle capabilities and a bunch of other things. And…”
Jul 28, 2025
Jul 28, 2025 negative
Mohan: Vector embeddings fail at granular code retrieval queries
“For a lot of the systems, we do believe embeddings work, but for complex questions, We don't believe embeddings can encapsulate all the granularity of a particular query. Like imagine, imagine I have a question on a code base of find me all quadratic time algo…”
Jul 28, 2025 positive
Varun Mohan: Parallel multi-agent coding trajectories don't require multiple machines
“And if you want to run all of them in parallel, you probably don't want end machines to go out and do it. I think that's unnecessary. Especially if most of them are I.O. Bound kind of operations where all you're doing is reading a little bit of data and writin…”
Jul 28, 2025 negative
Mohan: Off-the-shelf serving frameworks leave significant FLOP utilization on the table
“The open source serving. Offerings are just, I will say not great in that they aren't customized to transformers and these kinds of workloads where I have high latency and I want to like batch requests and I want to batch requests while keeping latency low. Bu…”
Jul 28, 2025 negative
Mohan: Codeium uses in-house models for autocomplete due to poor frontier FIM
“The things like autocomplete and supercomplete that run on every keystroke are entirely, like, our own models, and by the way, that is still because properties like FIM, fill in the middle capabilities are still quite bad with the current model.”
Jul 28, 2025 bullish
Jul 28, 2025 positive
Mohan: Stripping open-source commits turns coding agent evals into a continuous problem
“And if you do this across enough repositories, you've turned this highly discontinuous and discrete problem of make a PR work versus make it not work into a continuous problem. And now that's a hill you can actually climb.”
Jul 28, 2025 positive
Mohan: Enterprises should fine-tune off-the-shelf models over custom architectures
“For a vast majority of enterprises, they should probably be using something off the shelf, fine tuning BERT models. If it's a vision, they should be fine tuning resonant or using something like clip, like the less work they can do the better.”
Jul 28, 2025 bullish
Mohan: Windsurf's real value is large codebase work, not 0-to-1 apps
“We had the technology to go out and build these zero to one apps very quickly, and I think people are using Windsurf to actually do that, and it's like extremely impressive, but the real value, I think, is actually much deeper than that. It's actually that you…”
Jul 28, 2025 neutral
Mohan: Windsurf Cascade splits planning to Claude and codebase application internally
“The high level planning that is going on in the model is actually getting done with products like the cloud, but the extremely fast retrieval, as well as the ability to like take the high level plan and actually apply it to the code base is proprietary systems…”
Jul 28, 2025 negative
Mohan: Squeezing the last 10% from AI benchmarks is counterproductive
“Once it starts hitting the peak of these benchmarks, getting that last 10% actually probably is, like, counterintuitive to the actual goal of what the benchmark was. Like, you probably should find a new hill to climb, rather than sort of p-hacking or really op…”
Jul 28, 2025
Mohan: LLM products depend on latency, quality, and correctability
“And if I were to go out and think about like the three categories of like an LLM product, it's probably like latency, quality, and correctability. The reality is, you know, if I were to take a product like Copilot or Kodia, the latency is very low. The quality…”
Jul 28, 2025 neutral
Jul 28, 2025 positive
Mohan: Scale AI increased revenue 10x with each major pivot
“Effectively, it starts out as, like, you know, human task interface, then an AV labeling company, then a cataloging company, then Now a generative AI labeling company, and every time the revenue of the company kind of goes up by a factor of 10, even though the…”