cstanley

Did these guys just kill their QSBS status by raising 80m instead of 75?

Cool idea, but a lot cooler to be able to attract talent with QSBS stock

Both are solved by the delete button and to overwrite any new text that was previously part of a deletion?

May be more annoying than it's worth tho

https://patterns.app/, but is more for databases

This paper was published 154 days ago, probably a year since the authors did the experiment. Sooo much has happened since then! This showed already that GPT4 is pretty darn good analyst.

All this real-world complexity can be tamed by stuffing the prompt with a ton of relevant context and an amazing prompt engine. We'll have bots that autonomously query the database hundreds of times building a 5 page "deep-dive" analytics report in minutes.

At least that's what we're trying at patterns.app.

Founder of patterns here (https://patterns.app/)

We're taking a proactive approach to our "chat with your database" product. We begin by inspecting your db, building a knowledge base, then AI will recommend relevant insights to you depending on your query history... tinder for data if you will!

To follow up just create a new request and it'll kickoff a chat

If you don't want to integrate an API, and want an interface for everyone to use that _just works_ with charting check out patterns.app

That's pretty cool! Gotta start somewhere. Have anything you can share at the moment?

Founder here, our core product is workflow software and infrastructure.

We love langchain, you can run it in Patterns actually!

I want the stable diffusion version where I just sketch a dashboard then it makes it in vega or matplotlib or something

If there's already very little margin left in interchange for fintechs, what's to stop further compression in pursuit of customer acquisition for higher margin products? End state... is interchange going to zero?

Hey HN! A colleague on our team wanted to dogfood Patterns to see what might take to build a Slack bot that summarizes the activity of the day with GPT3.

He wrote down his learnings which go into interaction design, prompt design, and how to work with data from Slack.

Read the details on the blog!

"When I was a Salesforce developer, I frequently worked with small internal teams within larger organizations. Since traditional AI solutions require large amounts of data and specialized infrastructure to function properly, utilizing AI capabilities was something that a small compliance department or customer service team wouldn’t even consider.

Now with services such as Cohere, you can fine-tune pre-trained Large Language Models (LLMs) and use Patterns to provide easy-to-configure data orchestration with no infrastructure required. No matter what budget or available resources, small teams no longer need to be left behind in the AI revolution and can take advantage of these powerful tools to improve their operations and decision-making.

In this article, I’ll explain how to quickly set up a Salesforce Case classifier using an LLM such as GPT-3. While this is a common use case for AI within Salesforce, this example can be applied to other AI solutions as well."

Still working out the details. Would love to hear what hardware you're using. Shoot me a message? patterns.app/contact

We have a clickable tutorial behind login, and we could easily do the same experience for an app we embed on the website. Thank you for the idea!

Absolutely. After we add better support for file storage, building workflows that leverage APIs like Dalle/Stable Diffusion become much easier.

Spot on analysis of the market — we also think the next frontier for data eng/science is towards further automation. After all, dashboards are input to a person that makes a decision and takes an action; and to your point, tools on the market don’t really serve this use case.

To this end, we plan to support more human-in-the-loop workflows by expanding on our dashboard feature and enabling stateful user input interfaces.

One small note to point #4, while we provide out-of-box infrastructure for easy setup, Patterns can run on your existing data warehouse — so it plays nicely with big teams that have existing tools.

Our target audience are data engineers and scientists who are stitching together business apps like CRMs/email marketing tools etc, and building proprietary automations and analytics in between them like generating a customer health score and actioning on it.

One of the problems we’ve intended to solve is the separation of analytical systems (like all your pipelines for counting customers and revenue) and your automations (like do something on customer signup event).

I think to think we threaded the needle quite well at patterns.app --- letting the user be fully expressive with code, whilst giving the visual flow programming guide

It's actually on a cron job to update every 30 minutes.

You can pop open it in a dashboard view to track - https://studio.patterns.app/graph/wnqkmhaf8a4ywqbpzb36/twitt...

Love React Flow! We use it for our product, no complaints :)

Cool product guys! One question >

"Being open source, we provide the flexibility for our customers to build their own connectors rather than waiting for cloud vendors to fulfill their connector requests."

Why does it need to be OS? Can't a product just have a devkit that enables you to build your own connectors?

Basis | San Francisco, CA | data, full-stack, and growth engineer's | getbasis.com | full-time, onsite/remote hybrid

If you're frustrated with "the modern data stack" and also believe there is a better way to build and deploy data systems --- read further.

Basis is a platform for building end-to-end data pipelines ridiculously fast — everything from ingestion to ETL, machine learning, automation, and reverse ETL in a unified framework, no data engineering required. We're a YC-backed startup based in San Francisco and just raised $2.5m on from a group of all-star angel/operators who were/are C-level execs at Notion, Reddit, Square, Plaid, Airbnb, Kaggle, Stripe, Checkr, Webflow and Github.

The team is currently just two founders, and we're looking to bring on founding level engineers.

Read more about us and the positions we're hiring for here: https://www.notion.so/getbasis/Basis-Open-Positions-e6739cc2...

Instructions to apply in the link above.

Simpl | San Francisco, CA | Remote | Software Engineer, Product Manager | https://www.simplhq.com/

Who we're looking for?

- Sr. Full-Stack Developer - https://www.notion.so/simplhq/Sr-Full-stack-Developer-90f1df...

- Technical Product Manager - https://www.notion.so/simplhq/Technical-Product-Manager-47f3...

---

Who we are?

Simpl is a software implementation marketplace. We partner with world class software vendors matching their customers with expert implementers. The experts on our platform are given the training, certification, and tools necessary to do their job. Our platform increases sales conversions, accelerates time-to-value, and reduces churn for our vendor partners and offers high-paying, remote, flexible and dependable work to experts.

We're looking for a skilled technical project manager with experience building systems, processes, and tools that enable software to be developed at scale. We're looking for someone that is passionate about communicating with stakeholders and team members to lead the charge on building a world-class platform.

You will be employee number 4 and your foundational work will inform the trajectory of the company. We want you to say that you’ve done your life’s best work here.

Simpl was founded in 2019 and has just raised a round of financing from A+ Silicon Valley VC's. We're looking to work with folks who are truly passionate about building best-in-class products that will educate and employee thousands of people across the world.

---

To apply, email chris@simplhq.com. Please include your resume and a note about what makes you a good fit. Looking forward to hearing from you!

Does anyone have the tl;dr (summary)?

And if you don't recall... two index funds, XIV and SVXY got saw their combined value shrink to $150 million from $3 billion in a day of trading earlier this month. It looks like this was written in Oct 17.

"We realized that this problem needed a new kind of database, and so we built TimescaleDB: the first open-source time-series database designed for scalability and complex analysis."

I'm not a DB expert, but what have financial firms been using for decades? Likely dealing with much larger securities datasets...

Or, is it just that TimescaleDB is 'opensource'...

This is so cool. I'm an analyst at a tech company, I wish we had more structure used in our day to day analytical work. Too often we conduct satisfying analysis to inform decisions - the number and impact of the decisions we inform determines our success as an analyst. I would love bandwidth to approach a problem with no prior assumptions, but doing so takes too much time.

Any other resources like this that I might find interesting and impact the way I go about analytical work?

http://datasciencemasters.org/

I think this is already happening in Japan via the Japanese herbivore man...

https://en.wikipedia.org/wiki/Herbivore_men

there are too many similarities between our economy and what Japan has already gone though, let's get ready for 0% rates for the next 20 years...

Don't think automation will get rid of these jobs - have you seen the cronut? Don't think a computer would have been able to derive that creation... (not sarcastic)

Also, as we create more time, we'll have to spend it on these luxurious that currently seem frivolous.