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Lawrence Lin Murata @LawLM

Co-founder & CEO @SlopePay⚡️ (YC S21) | prev: Head of AI Platforms & DS @NautoInc, founder/CEO at Newton (acq), @Stanford 🇧🇷 lawrencemurata.com [email protected] Joined September 2010
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LawLM Profile Picture

Lawrence Lin Murata @LawLM

9 minutes ago

An understated aspect of AI is increased clarity of thought. Now everything needs to be spoken or written, and clearly enough to hand off to an agent

Lawrence Lin Murata retweeted
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Slope @slopepay

6 days ago

@slopepay and @Fiserv are bringing AI-powered embedded financing to B2B payments! Slope will integrate with SnapPay®, Fiserv’s B2B payments platform, enabling eligible enterprise and mid-market merchants to offer their customers flexible payment options at checkout.

LawLM Profile Picture

Lawrence Lin Murata @LawLM

4 weeks ago

@justinemach_ @sumanyu @HammingAI @aiDotEngineer great interview @sumanyu!!

Lawrence Lin Murata retweeted
3janexyz Profile Picture

3Jane @3janexyz

4 weeks ago

3Jane has purchased a total +$60M in loans from @slopepay, crossing the $50M hold-level on the forward flow announced in June Slope gets access to effectively unrated ABS economics via a USD3-funded forward flow- a meaningful structural innovation in the $15T securitization mkt

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3Jane @3janexyz

2 months ago

3Jane has executed an ~$8.5m whole-loan purchase with Slope, the credit infrastructure powering business lending for @slashapp & the Fortune 10 Phase 0 of a broader $50m forward-flow program USD3 now directly funds SMB lines of credit embedded in major U.S. commerce platforms

LawLM Profile Picture

Lawrence Lin Murata @LawLM

2 months ago

The future of funding is decentralized. 2nd forward flow sale in a few weeks, 3x'd the facility size.

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Slope @slopepay

2 months ago

Coming off of our recent announcement, we’re excited to share that @3janexyz has upsized its Slope facility with an additional ~$18m purchase. Let's go! 🎉

LawLM Profile Picture

Lawrence Lin Murata @LawLM

2 months ago

The future of credit applications won’t be a faster application, it will be no application

LawLM Profile Picture

Lawrence Lin Murata @LawLM

2 months ago

Excited that Slope completed a loan sale to @3janexyz. This is one of the first transactions of its kind -- it tokenizes SMB loans via USD3/sUSD3 stablecoins, increasing efficiency, transparency, programmability. This changes how business loans are funded and helps us scale towards our mission!

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Slope @slopepay

2 months ago

We are excited to announce that we have completed our 1st forward-flow loan sale of $8.5M with @3janexyz, a cryptonative credit protocol. This is the 1st phase of a broader $50M program and one of the 1st whole-loan purchases of a U.S. fintech loan book by a DeFi protocol.

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Lawrence Lin Murata @LawLM

2 months ago

@usekernel very cool!

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Lawrence Lin Murata @LawLM

3 months ago

@shensi @JeanelleAgent congrats @shensi @merge team!!

LawLM Profile Picture

Lawrence Lin Murata @LawLM

3 months ago

I worry a lot about the collateral damage of vibe coding and agents in security and data privacy. The surface area of attack is growing very quickly, while control and auditability are generally decreasing - this is a very bad combo.

LawLM Profile Picture

Lawrence Lin Murata @LawLM

3 months ago

@karpathy congrats!!

LawLM Profile Picture

Lawrence Lin Murata @LawLM

3 months ago

Choose to do something well or don't. - Focus on solving problems you genuinely care about. - Wake up and give your best every day. - Occasionally touch grass. - Swim your own lane - don't try to live others' lives. The rest will take care of itself. Nothing else matters.

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Deedy @deedydas

3 months ago

The vibes in SF feel pretty frenetic right now. The divide in outcomes is the worst I've ever seen. Over the last 5yrs, a group of ~10k people - employees at Anthropic, OpenAI, xAI, Nvidia, Meta TBD, founders - have hit retirement wealth of well above $20M (back of the envelope

LawLM Profile Picture

Lawrence Lin Murata @LawLM

3 months ago

There's no doubt agents make us all more productive. But I'm finding it key to discern real productivity vs. feeling productive. I'm recently running into 2 productivity failure models: - Failure by parallelism: I can spin up as many parallel agents as I want, but there's a threshold where it exceeds my context window so things start getting dropped. Fewer parallel threads done well >>> many threads that never get across the finish line. I suspect better orchestration will solve this. If humans can run companies with 10,000s of employees, why can't we run as many/more agents? - Failure by depth: Agents make it very easy to do extra work and dive deeper into anything in ways that weren't practical before. But does that actually result in better output or is that extra work that feels productive but isn't?

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Lawrence Lin Murata @LawLM

3 months ago

Most productive Claude Code hours are late night!

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Charly Wargnier @DataChaz

3 months ago

true af

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Lawrence Lin Murata @LawLM

3 months ago

The underlying cost structure of running a company is changing. Many business models will now become scalable and having better cost structure will become a real competitive advantage that will be passed on to customers

LawLM Profile Picture

Lawrence Lin Murata @LawLM

3 months ago

@IamBrandonHill @VoriHQ Amazing to see this!! Congrats Brandon and Vori!

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Lawrence Lin Murata @LawLM

4 months ago

we’re putting out an offer to buy Bank of America. half cash, half stock.

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Lawrence Lin Murata @LawLM

4 months ago

ChatGPT is team blue, Claude is team red... Take it as you wish

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Tim Urban @waitbutwhy

4 months ago

Everyone in the world has to take a private vote by pressing a red or blue button. If more than 50% of people press the blue button, everyone survives. If less than 50% of people press the blue button, only people who pressed the red button survive. Which button would you press?

LawLM Profile Picture

Lawrence Lin Murata @LawLM

4 months ago

@karpathy Check out Jason's in-depth article on how this autoresearch implementation works including results from a real round of iteration: slopepay.com/blog/feature-a…

LawLM Profile Picture

Lawrence Lin Murata @LawLM

4 months ago

It's never been more exciting to build in fintech. Our data science team applied @karpathy's autoresearch to credit risk modeling. It used to take us a week to ship ~1 solid credit feature. A single autoresearch round generated 58 strong new features orthogonal to our existing set. What would have taken more than a year can now be done in days, without sacrificing any defensibility. Sharing in-depth results below.

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