Nicolay Gerold

@nicolaygerold

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AWS: Predictable, and lots of managed services. I use it at my full-time job, so I didn't have to spend too much time figuring things out. The main services I use are EKS, ELB, S3, RDS, IAM and private VPCs.

Cloudflare: I use it for DDoS protection, DNS, and caching static assets. It currently shaves off 80% of the egress charges from AWS. Not sure

The Tech Stack of a One-Man SaaS

Nomic Atlas Python Client

Explore, label, search and share massive datasets in your web browser.

This repository contains Python bindings for working with Nomic Atlas, the world’s most powerful unstructured data interaction platform. Atlas supports datasets from hundreds to tens of millions of points, and supports data modalities ranging from text... See more

GitHub - nomic-ai/nomic: Interact, analyze and structure massive text, image, embedding, audio and video datasets

Embeddings

📖 Introduction

ReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.

🚀 Features

Generate React Components from user stories

Compose React Components from existing components

Use a

eylonmiz • GitHub - eylonmiz/react-agent: The open-source React.js Autonomous LLM Agent

Agents

🤖 Create perpetual chatbots with self-editing memory!

🗃️ Chat with your data - talk to your SQL database or your local files!

📄 You can also talk to docs - for example ask about LlamaIndex!

cpacker • GitHub - cpacker/MemGPT: Teaching LLMs memory management for unbounded context 📚🦙

Agents

Cursor Party

🎈 Easily add multiplayer cursors to any website.

Follow these instructions and add one script tag. It works on static websites and web apps too.

Why?

Vibes

Because you can start here and then customize.

👉 See a demo: here's the Cursor Party deployment behind the multiplayer cursors on the PartyKit blog.

partykit • GitHub - partykit/cursor-party

Frontend-Tools

Where Should Your Company Start with GenAI?

We call it WINS Work: the places where tasks, functions, possibly your entire company or industry are dependent on the manipulation and interpretation of Words, Images, Numbers, and Sounds (WINS). Heart surgeons and chefs are knowledge workers but not WINS workers. Software programmers, accountants, and marketing professionals are WINS workers. GenAI has the potential to be power tools for WINS work. Every WINS task, subprocess, and end-to-end process within your enterprise (and in many cases the entire enterprise) should be evaluated for potential leverage with GenAI. Plotting your company on a 2×2 matrix, ask yourself where it falls. The top-level categorization can be accomplished by looking at the cost base of the firm overall and then by function, and estimating the percentage of work that is WINS work. For example, software development, customer service, marketing, and R&D are just four areas with high levels of WINS work.

OpenAI is treating its new marketplace seriously now: The brand new GPT store will come with REVENUE SHARING.... (missing in the Plugins launch)

and launching a Stateful Assistants API:

- Persistent Threads (/api/openai/threads)

- Built in Retrieval (chunking etc done for you)

- Code Interpreter (RIP Adv Data Analysis?)

- Speech to Text and Text to... See more

swyx • Tweet

LLMs

I really think that we could be entering a third epoch of computing. The microchip brought the marginal cost of compute to 0. The internet brought the marginal cost of distribution to 0. These large models actually bring the marginal cost of creation to 0.

Sarah Wang • What Builders Talk About When They Talk About AI | Andreessen Horowitz

Not just the cost of creation but also the cost of intelligence.

Flow isn’t a state of learning it is a state of expression for already learned skills.