benjlang

Can you shoot me a note, will get this sorted out: ben@cursor.com

Some examples from the most recent newsletter I sent out:

Early teams

PJ and Kat are building FilmPort, an operating system for commercial-grade AI filmmaking. They started three months ago and have already reached 25M+ viral views, signed >$30M in LOIs from Fortune 500 brands, and secured a film studio partnership. They are looking for founding team members - especially engineers and creative people. You can reach out here: kat@filmport.ai.

Ravin from Credal is hiring founding team members (across every role: engineering, chief of staff, operations). They did YCombinator last year and raised a seed round as they build an AI assistant for enterprise workflows. You can learn more here and email here: founders@credal.ai.

Simone from Fay is hiring for every role (operations, partnerships, engineering, etc.). Fay is a platform tens of thousands of people use to access licensed dietitians (covered by insurance). They have grown revenue 500% YoY after raising their Series A, bringing it well into the eight figures. You can learn more here and email simone@faynutrition.com.

JB was an early product / engineer at Airtable (one of the first 15 hires). He’s now building Chief, an intelligent email assistant. Howie, founder/CEO of Airtable, is a founding investor/advisor. They are hiring founding team members, especially technically great engineers and designers. You can reach out here: jbbakst@gmail.com.

Dennis, former founder of Foursquare, is hiring founding team members for his new consumer platform Hopscotch. You can think of it as “a mashup of OG Twitter ("what's happening"), OG Foursquare ("who's where doing what"), and Waze (but for walking thru cities).” You can learn more and get in touch here.

Marcel from GrowthX is hiring a chief of staff. They are building an ai-native GTM platform. They just hit $3m in revenue within 3 months of launching (and its been completely bootstrapped so far). You can apply here.

Justin from Truemed is building a platform that lets people use their HSA/FSA in more places. They are hiring a staff product designer. You can learn more and apply here.

Steph from PIN is building a platform to help founders raise money. They are hiring a biz ops lead. You can learn more and apply here.

Anna from Paradigm is reimagining spreadsheets (with AI its core). They are hiring founding team members (including engineers and generalists). You can learn more here and email: careers@paradigmai.com.

Tanooj was previously the head of engineering at Brex. Now he’s building Nerve, an AI knowledge worker copilot. They are hiring a founding engineer. You can learn more and apply here.

Co-founders / people to jam with

Cory is a designer who joined Notion as an early employee back in 2019 (and before that did design at the Wall Street Journal). He’s looking for a co-founder to work on a new AI project. You can learn more here.

Shashank is a Director of Engineering at a Series D company. He’s looking to start something new in the industrial AI world. You can reach out here: sha.iyer16@gmail.com.

Christian previously founded Wanderlust and Pitch. He’s looking for a technical co-founder for a new project working on autonomous mining operations. You can learn more here.

Rohan is a software engineer who has experience in AI research labs, startups, and big banks. He’s filed multiple ML patents. He’s looking to collaborate on exciting new projects. You can reach out here: rohansaphal@gmail.com.

Sebastian is both an electrical engineer and financial executive (ex-CFO and investment banker). He recently founded Brick, a smart energy management company. He’s looking for co-founders (both technical and non-technical). You can reach out here: seb@brick-data.com.

Hey folks!

I started next play a year ago as I was exploring what I wanted to do next. I wanted to create a space for people who might not normally be open about what they're looking for next, to explore and see cool opportunities out there in the startup world.

I've been collecting and curating under the radar opportunities (early teams hiring, co-founders looking for partners, breakout startups hiring) and sharing in a weekly newsletter http://nextplayso.substack.com

A bunch of folks have actually found their next thing and even started companies with other people through the newsletter which has been awesome to see.

Let me know if you have any feedback! Hope it's useful.

dinners, podcast, intros, newsletter, for people coming from figma/openai/stripe/databricks etc. who are openly/secretly exploring their next thing. newsletter goes out every two weeks with early founding roles, cofounder opportunities.

When's it coming out? I'd like to try it out

Some have templates. Hoping Notion releases clone feature soon. Didn't know you could export markdown, will look into that.

I'm a big Notion fan. Use it for everything in my life, both work and personal. Here's a screenshot of my Notion homepage: https://twitter.com/benln/status/1034475232445181952

I also made this site for people to share their Notion pages: http://notionpages.com You can use that to get a better sense of use cases for Notion.

Who here is charging for them?

wow - can you ping me b@langonline.com working on something i'd love to chat about

Fixed!

Good feedback, thank you.

Yeah, I've seen some scrolling issues which need to be fixed. Anything else you saw?

No forum, but you can suggest products here https://askspoke.typeform.com/to/rvq3mY Adding a few each week.

Oops, need to fix this!

Here's what's coming next for IT Kit:

http://people.itkit.io http://jobs.itkit.io

Thanks, totally valid feedback. Any specific products you'd recommend adding? Or just more advanced filtering?

We love Donut. At least half our company uses it on a weekly basis to grab coffee.

Yes, 100% this. It doesn't matter how good the tool is (and so many knowledge-management tools are not good), you need the processes and organizational habits in place to make knowledge management a success.

Effective knowledge management practices are something we think about a lot at Spoke (https://www.askspoke.com). We've studied other companies' practices and have come up with some organizing practices/principles:

1. Adopt the right tools: - Adopt cloud-based knowledge management tools that are simple to use. If new tools are overly complex, no one will use them. - Find solutions integrate with the applications employees are already using. (Be where employees already are, like Slack.) - A central source of information is best. If knowledge is spread across multiple tools, it will still be difficult for people to find.

2. Take advantage of new technologies: - Adopt tools and technologies that use AI to process and catalog resources. Ideal solutions may automate the processes of updating knowledge and/or automatically categorize and tag new content to make it easier to find. - Look for tools that use machine learning to improve as data is collected. Machine-learning technologies learn how people search for certain types of information, getting better over time at helping users find the exact information they’re looking for.

3. Document important processes: - Set aside time once a month for employees to create documentation on the tasks they’re responsible for. - Save all documentation on the cloud or some other shared server so everyone has access to it and to prevent document loss.

4. Find creative ways for employees to share tacit knowledge: - Establish a mentor program that pairs new hires with long-time employees. - Make sure managers know how to perform the most critical tasks that their teams are responsible for. - Set aside time for employees in related roles to cross-train. This will expand institutional knowledge, provide a source of backup when employees take time off, and reduce the likelihood of total knowledge loss caused by unexpected turnover.

Spoke | Software Engineer - AI and Learning, Frontend, Backend | Onsite | Fulltime | San Francisco | http://askspoke.com Spoke is a young, San Francisco-based startup that is reinventing workplace request management. A few weeks ago, we announced $28M in funding from Greylock, Accel and others. We’re a small team of designers, engineers and machine-learning experts who are repeat entrepreneurs and most recently worked at Google and Twitter. We are looking for exceptional engineers to join our team in San Francisco.

At Spoke we are using ML and NLP technologies to make workplace ticketing systems smarter. The work spans many disciplines: Information Retrieval, NLP, ML, and deep learning.

You can learn more and apply here: https://jobs.lever.co/askspoke

Spoke | Software Engineer - AI and Learning, Frontend, Backend | Onsite | Fulltime | San Francisco | http://askspoke.com Spoke is a young, San Francisco-based startup that is reinventing workplace request management. A few weeks ago, we announced $28M in funding from Greylock, Accel and others.

We’re a small team of designers, engineers and machine-learning experts who are repeat entrepreneurs and most recently worked at Google and Twitter. We are looking for exceptional engineers to join our team in San Francisco.

At Spoke we are using ML and NLP technologies to make workplace ticketing systems smarter. The work spans many disciplines: Information Retrieval, NLP, ML, and deep learning.

You can learn more and apply here: https://jobs.lever.co/askspoke

Spoke | Software Engineer - AI and Learning, Frontend, Backend | Onsite | Fulltime | San Francisco | http://askspoke.com

Spoke is a young, San Francisco-based startup that is reinventing workplace request management. A few weeks ago, we announced $28M in funding from Greylock, Accel and others.

We’re a small team of designers, engineers and machine-learning experts who are repeat entrepreneurs and most recently worked at Google and Twitter. We are looking for exceptional engineers to join our team in San Francisco.

At Spoke we are using ML and NLP technologies to make workplace ticketing systems smarter. The work spans many disciplines: Information Retrieval, NLP, ML, and deep learning.

You can learn more and apply here: https://jobs.lever.co/askspoke

️ Spoke | Software Engineer - AI and Learning, Frontend, Backend | Onsite | Fulltime | San Francisco | http://askspoke.com

Spoke is a young, San Francisco-based startup that is reinventing workplace request management. A few weeks ago, we announced $28M in funding from Greylock, Accel and others.

We’re a small team of designers, engineers and machine-learning experts who are repeat entrepreneurs and most recently worked at Google and Twitter. We are looking for exceptional engineers to join our team in San Francisco.

At Spoke we are using ML and NLP technologies to make workplace ticketing systems smarter. The work spans many disciplines: Information Retrieval, NLP, ML, and deep learning.

You can learn more and apply here: https://jobs.lever.co/askspoke

Sorry fixed! https://jobs.lever.co/askspoke/

Spoke | Software Engineer - AI and Learning | San Francisco | http://askspoke.com

Spoke is a young, well funded, San Francisco-based startup that is reinventing workplace ticketing systems. Our goal is to make Spoke the primary business application that companies use for all of their knowledge and service requests. We’re a small team of designers, engineers and machine-learning experts who are repeat entrepreneurs and most recently worked at Google and Twitter.

We are looking for exceptional engineers to join our team in San Francisco. At Spoke we are using ML and NLP technologies to make workplace ticketing systems smarter. The work spans many disciplines: Information Retrieval, NLP, ML, and deep learning. You can learn more and apply here: https://jobs.lever.co/askspoke/135f082c-de82-4875-bbd1-35f6a.... jobs@askspoke.com

Spoke | Software Engineer - AI and Learning | San Francisco | http://askspoke.com

Spoke is a young, well funded, San Francisco-based startup that is reinventing workplace ticketing systems. Our goal is to make Spoke the primary business application that companies use for all of their knowledge and service requests. We’re a small team of designers, engineers and machine-learning experts who are repeat entrepreneurs and most recently worked at Google and Twitter.

We are looking for exceptional engineers to join our team in San Francisco. At Spoke we are using ML and NLP technologies to make workplace ticketing systems smarter. The work spans many disciplines: Information Retrieval, NLP, ML, and deep learning. You can learn more and apply here: https://jobs.lever.co/askspoke/135f082c-de82-4875-bbd1-35f6a.... jobs@askspoke.com

Totally agree with you. We're integrating our ticketing system into chat apps (e.g. Slack) with a similar workflow as you described. http://askspoke.com/

We (askspoke.com) are hiring in San Francisco:

Software Engineer - AI and Learning: https://jobs.lever.co/askspoke/135f082c-de82-4875-bbd1-35f6a...

Software Engineer - Backend: https://jobs.lever.co/askspoke/cb915664-4ba0-482c-b824-73a3d...

Spoke | Software Engineer - AI and Learning | San Francisco | http://askspoke.com

Spoke is a young, well funded, San Francisco-based startup that is reinventing workplace ticketing systems. Our goal is to make Spoke the primary business application that companies use for all of their knowledge and service requests. We’re a small team of designers, engineers and machine-learning experts who are repeat entrepreneurs and most recently worked at Google and Twitter.

We are looking for exceptional engineers to join our team in San Francisco. At Spoke we are using ML and NLP technologies to make workplace ticketing systems smarter. The work spans many disciplines: Information Retrieval, NLP, ML, and deep learning.

You can learn more and apply here: https://jobs.lever.co/askspoke/135f082c-de82-4875-bbd1-35f6a...

jobs@askspoke.com

We're using Open Street Map here (not charging) http://mapme.com/stories

Good job! Check out what I'm working on:

http://mapme.com/

http://mapme.com/stories

If you ever want to chat maps, ben@mapme.com :)