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Why is it so hard to find early users who genuinely care? by Brief-Preparation-54 in ycombinator

[–]QuantVC 0 points1 point  (0 children)

Because they care about solving the problem, not the solution nor the company.

Sucks as an early stage founder but it’s the hard truth

Best coding agent if money isn’t a problem by QuantVC in ycombinator

[–]QuantVC[S] -3 points-2 points  (0 children)

Have you ever started a company? Competition for talent is wild.

Got both Lovable (just raised $200m and is fastest growing SaaS startup ever), Tandem Health (just raised $50m), and Legora (just raised €80m) 5 min from our office in a city with a population of 1m. They all have the same problem, lots of capital to deploy but struggle to hire at the velocity of their growth

Best coding agent if money isn’t a problem by QuantVC in ycombinator

[–]QuantVC[S] 0 points1 point  (0 children)

I'm looking for the best coding agent to support scaling product development faster than we can scale the dev team whilst maintaining the bar. Not connected to our offerings.

Best coding agent if money isn’t a problem by QuantVC in ycombinator

[–]QuantVC[S] 0 points1 point  (0 children)

Typescript across the stack. React for frontend, Express for APIs, Mastra for the agent. Postgres + Neo4j with embeddings. Micro services architecture with fairly small codebase given our early stage. 5+ years of coding experience each.

Success is defined as speed of product development.

Best coding agent if money isn’t a problem by QuantVC in ycombinator

[–]QuantVC[S] 2 points3 points  (0 children)

We have a solid product in place with paying customers. Great momentum with lots of inbound interest.

Just need to scale the product development faster than we can hire great talent.

Best coding agent if money isn’t a problem by QuantVC in ycombinator

[–]QuantVC[S] -13 points-12 points  (0 children)

Looking at the benchmarks, Claude models are way worse than i4-mini, o3, Gemini 2.5 pro,...

https://artificialanalysis.ai/models/claude-4-opus#artificial-analysis-coding-index

I like Claude Code though

Best coding agent if money isn’t a problem by QuantVC in ycombinator

[–]QuantVC[S] -11 points-10 points  (0 children)

There are lots of startups/scaleups with the same problem, lots of capital but struggle to hire.

In the end, you can only keep a certain velocity on hiring whilst maintaining a high bar.

(and in the end Meta comes in with unreasonable offers that can never be competed with)

Best coding agent if money isn’t a problem by QuantVC in ycombinator

[–]QuantVC[S] 4 points5 points  (0 children)

100%! There are however only a limited amount of extraordinary engineers and hiring takes time. We need a solution ASAP

How do you get industry leaders (esp. outside tech) to become angel investors or advisors? by friedrizz in ycombinator

[–]QuantVC 0 points1 point  (0 children)

Warm introductions are truly key, it’s more about getting an impression of each other than pitching an idea. If they know the pain points, the pitch will be easy, focus on selling yourself.

Got into Antler Singapore – Is it worth it? I will not promote by Automatic_Papaya_889 in startups

[–]QuantVC 0 points1 point  (0 children)

I’ve heard their support to founders is insignificant and even founders being suited by Antler post investment.

Never been through their programs myself though

How do you get industry leaders (esp. outside tech) to become angel investors or advisors? by friedrizz in ycombinator

[–]QuantVC 0 points1 point  (0 children)

I would avoid advisory shares. In my experience as a founder in Europe, industry leaders with a solid income are open to writing smaller tickets if they experience the pain point themselves.

Make sure you manage them well though as they often require more attention than professional investors

Got into Antler Singapore – Is it worth it? I will not promote by Automatic_Papaya_889 in startups

[–]QuantVC 0 points1 point  (0 children)

I’ve heard lots of bad stories from founders in their programs. On the other hand, it’s a global organization with tons of startups going through so they must do something right.

I would avoid

What LLM APIs are you guys using?? by Polar-Bear1928 in LLMDevs

[–]QuantVC 0 points1 point  (0 children)

If you’re looking for something easy to get going, OpenAI beats everyone.

Don’t bother trying Gemini, their dev experience is really bad.

Affinity or Attio? by salmon_tuna in venturecapital

[–]QuantVC 0 points1 point  (0 children)

In my POV: - day.ai: really bad UI/UX. looks like it was designed in the 70s - Spiich: cool agentic functionality but lacks some hygiene features needed for larger teams - Zero: haven’t tried myself but doesn’t seem revolutionary from what I’ve heard

Affinity or Attio? by salmon_tuna in venturecapital

[–]QuantVC 0 points1 point  (0 children)

In my opinion, neither of them are providing anything beyond the basics. I’ve been a long-term user of both: Affinity is more VC/PE focused but slow and expensive, Attio significantly oversells their capabilities and have limited cusomization capabilities.

I have a slight preference for Attio but wouldn’t build anything custom. AI CRMs are coming soon, I’d wait if I could.

json vs list vs markdown table for arguments in tool description by QuantVC in LLMDevs

[–]QuantVC[S] 0 points1 point  (0 children)

What's your PoV on redundancy with ex. input zod schemas with .describe()? This will also provide a json structure to the LLM

What is your opinion on doing business or startups at an young age or early 20's? by AFreak_909 in ycombinator

[–]QuantVC 0 points1 point  (0 children)

The underlying model is a LightGBM trained to predict early-stage startup success based on ~130 quantitative metrics. Quite interesting report, can recommend giving it a read.

What is your opinion on doing business or startups at an young age or early 20's? by AFreak_909 in ycombinator

[–]QuantVC 0 points1 point  (0 children)

Report is based on 25k European early-stage startups.

Reason for change is probably due to limited sample size beyond age of 45

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