huan23

Connie Health | Senior Analytics Engineer | Boston, MA | HYBRID | $150k-$185k + equity

Connie Health is a fast-growing Medicare brokerage on a mission to empower older Americans to make confident, worry-free Medicare plan decisions. We offer a tech-enabled Medicare navigation platform that combines AI-driven technology with local Medicare experts to help people select optimal healthcare plans and navigate their benefits. Backed by leading investors such as Khosla Ventures, we are building technology to transform the trillion dollar Medicare insurance industry, impacting the lives of 67 million people in the US.

We are looking for a Senior Analytics Engineer to own our data transformation layer end-to-end. You will build the clean, well-modeled, documented datasets that the entire company relies on, spanning board-level book-of-business reporting (policy count, retention, effectuation, commissions), stakeholder self-service through Looker, and AI-driven exploration through tools like Claude. This is a high-leverage senior IC role: the quality of our analytics, forecasts, and operating decisions all depend on the foundation you build. You'll partner directly with Engineering, Finance, and Operations to fix data quality at the source, not downstream.

Tech stack: SQL, dbt, Redshift, Postgres, Looker (+ LookML), Fivetran, Airflow, Salesforce

We're looking for 5+ years in analytics/data engineering, deep hands-on dbt experience, strong SQL, and a track record of turning messy datasets into a trusted single source of truth. Bonus points for retention/lifecycle modeling, Looker administration, prepping datasets for AI consumption, or Medicare/insurance experience.

This is a hybrid position in our new Boston office near South Station, so local candidates only please. Unfortunately we are unable to do visa sponsorships at this time. Apply: https://recruiting.paylocity.com/recruiting/jobs/Details/422...

I am Huan, CTO at Connie Health. If you are interested, please feel free to reach out to me directly with your resume: huan.lai (at) conniehealth.com !

Connie Health | https://www.conniehealth.com | Multiple engineering roles | Hybrid (Boston, MA) | Full-time

Connie Health is a fast-growing startup on a mission to empower older Americans to make confident, worry-free healthcare decisions. Backed by leading investors such as Khosla Ventures and HealthQuest, we are building technology to transform the trillion dollar Medicare insurance industry, impacting the lives of 67 million people in the US. You will work at the intersection of the latest in applied AI/ML, software engineering, product, and infrastructure to build our best-in-class Medicare navigation and sales platform.

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We are looking to fill multiple positions on our rapidly growing engineering team, based out of Boston, MA:

Fullstack Engineer | $120k-$140k + equity | Responsibilities: Build the core tools that our Medicare agents rely on every day to serve customers efficiently and accurately | Tech stack: TypeScript, NestJS, Vue, Nuxt, Postgres, AWS, Docker + Kubernetes, Datadog

Senior Data Operations Analyst | $100k-$110k + equity | Responsibilities: Operations-heavy "data detective" role focused on the ensuring the quality of our core business data, investigating complex data discrepancies, identifying root causes, and implementing long-term fixes | Tech stack: SQL, Postgres, Redshift, Looker, Google Sheets

Senior Data Engineer | $140k-$160k + equity | Responsibilities: Architect, build, and scale the data platform and data pipelines that powers our analytics, operations, and AI-driven products | Tech stack: SQL, Postgres, Redshift, dbt, python, AWS, Airflow, Looker, Salesforce, Fivetran

Senior Backend Engineer | $140k-$160k + equity | Responsibilities: Own and evolve the core policy status tracking and commissions payment systems, powering financial reporting, policy lifecycle management, agent compensation, carrier reconciliation, and customer trust | Tech stack: TypeScript, NestJS, Postgres, AWS, Docker + Kubernetes, Salesforce, Datadog

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Apply: https://recruiting.paylocity.com/recruiting/jobs/All/28c82b8...

These are all hybrid positions in our Boston office near South Station, so local candidates only please. Unfortunately we are unable to do visa sponsorships at this time.

Connie Health | https://www.conniehealth.com/ | Multiple senior engineering roles | Hybrid (Boston, MA) | Full-time

Connie Health is a fast-growing startup on a mission to empower older Americans to make confident, worry-free healthcare decisions. Backed by leading investors such as Khosla Ventures and Pitango, we are building technology to transform the trillion dollar Medicare insurance industry, impacting the lives of 67 million people in the US. You will work at the intersection of the latest in applied AI/ML, software engineering, product, and infrastructure to build our best-in-class Medicare navigation and sales platform.

We are looking to fill multiple positions on our rapidly growing engineering team, based out of Boston, MA:

Lead AI/ML Engineer | $152,000 - $182,000 + equity

Responsibilities: Player-coach role, leading a small team of AI/ML and software engineers to build our top-of-funnel systems. Tech Stack: Python, "traditional" AI/ML model building tools (scikit-learn, PyTorch, XGBoost), LLMs, AWS, Aurora/Postgres, Redshift

Senior Backend Engineer | $130,000 - $156,000 + equity

Responsibilities: Build the core backend systems that power our top-of-funnel, such as tracking leads through various channels, integrating with affiliate partner marketplaces, working with AI/ML engineers to build our lead bidding models, dynamically mapping leads to agents, and AI-based lead pre-qualification. Tech Stack: TypeScript + NestJS, Postgres, AWS, Docker + Kubernetes

I am Huan, CTO at Connie Health. If you are interested, please feel free reach out to me directly at with your resume: huan.lai (at) conniehealth.com !

Connie Health | https://www.conniehealth.com/ | Multiple engineering roles | Hybrid (Boston, MA) | Full-time

Connie Health is a fast-growing healthtech startup on a mission to empower older Americans to make confident, worry-free Medicare plan decisions. We offer a tech-enabled Medicare navigation platform that combines an AI-driven technology with local Medicare experts to help people select optimal healthcare plans and navigate their benefits. Our culture is mission-driven, collaborative, and innovative, as we strive to transform healthcare through data-driven insights and personalized guidance.

We are building a two-sided marketplace, connecting older Americans looking for health insurance with local Medicare agents.

We are looking to fill multiple positions on our rapidly growing engineering team, based out of Boston, MA:

Senior Backend Engineer (Call Infrastructure) | $130,000 - $156,000 + Equity

Responsibilities: Lead the development of our Twilio-based calling + messaging infrastructure, enabling seamless communications between Medicare agents and customers. You must have significant experience with Twilio. Tech Stack: TypeScript + NestJS, Twilio / Five9 / Zoom, Postgres, AWS, Docker + Kubernetes

Lead AI/ML Engineer | $152,000 - $182,000 + equity

Responsibilities: Player-coach role, leading a small team of AI/ML and software engineers to build our top-of-funnel systems. Tech Stack: Python, "traditional" AI/ML model building tools (scikit-learn, PyTorch, XGBoost), open source LLMs, AWS, Aurora/Postgres, Redshift

Senior Backend Engineer | $130,000 - $156,000 + equity

Responsibilities: Build the core backend systems that power our top-of-funnel, such as tracking leads through various channels, integrating with affiliate partner marketplaces, working with AI/ML engineers to build our lead bidding models, dynamically mapping leads to agents, and AI-based lead pre-qualification. Tech Stack: TypeScript + NestJS, Postgres, AWS, Docker + Kubernetes

I am Huan, CTO at Connie Health. If you are interested, please feel free reach out to me directly at with your resume: huan.lai (at) conniehealth.com !

Connie Health | https://www.conniehealth.com/ | Multiple engineering roles | Hybrid (Boston, MA) | Full-time

Connie Health is a fast-growing Medicare brokerage on a mission to empower older Americans to make confident, worry-free Medicare plan decisions. We offer a tech-enabled Medicare navigation platform that combines an AI-driven technology with local Medicare experts to help people select optimal healthcare plans and navigate their benefits. Our culture is mission-driven, collaborative, and innovative, as we strive to transform healthcare through data-driven insights and personalized guidance.

We are building a two-sided marketplace, connecting older Americans looking for health insurance with local Medicare agents.

We are looking to fill multiple positions on our rapidly growing engineering team, based out of Boston, MA:

Senior Backend Engineer (Call Infrastructure) | $130,000 - $156,000 + Equity | https://recruiting.paylocity.com/Recruiting/Jobs/Details/338...

Responsibilities: Lead the development of our Twilio-based calling + messaging infrastructure, enabling seamless communications between Medicare agents and customers. You must have significant experience with Twilio. Tech Stack: TypeScript + NestJS, Twilio / Five9 / Zoom, Postgres, AWS, Docker + Kubernetes

Lead AI/ML Engineer | $152,000 - $182,000 + Equity | https://recruiting.paylocity.com/Recruiting/Jobs/Details/338...

Responsibilities: Player-coach role, leading a small team of AI/ML and software engineers to build our top-of-funnel systems. Tech Stack: Python, "traditional" AI/ML model building tools (scikit-learn, PyTorch, XGBoost), open source LLMs, AWS, Aurora/Postgres, Redshift

Senior Backend Engineer | $130,000 - $156,000 + Equity | https://recruiting.paylocity.com/Recruiting/Jobs/Details/338...

Responsibilities: Build the core backend systems that power our top-of-funnel, such as tracking leads through various channels, integrating with affiliate partner marketplaces, working with AI/ML engineers to build our lead bidding models, dynamically mapping leads to agents, and AI-based lead pre-qualification. Tech Stack: TypeScript + NestJS, Postgres, AWS, Docker + Kubernetes

I am Huan, CTO at Connie Health. If you are interested, please feel free reach out to me directly at with your resume: huan.lai (at) conniehealth.com !

Respondology | REMOTE (US Based only) | Senior Backend Engineer | Full-time | https://respondology.com/

Respondology is working on an important mission to eradicate hate, abuse and spam online, starting to dive headfirst into LLM / Generative AI technologies to make social media a better place. We are a small team that just raised our recent Series A round and are rapidly growing. We are looking to hire a Senior Backend Engineer with significant experience with Ruby-on-Rails [130k-160k + equity]. Our core tech stack is: React, a core Ruby-on-Rails monolith with Python+FastAPI microservices, Postgres, AWS. We are based out of Boulder, CO, but the engineering team is distributed across the US. Learn more here: https://respondology.com/careers/ or reach me at huan at respondology.com

Respondology | REMOTE (US Based) | Full-Stack Software Engineers | Full-time | https://respondology.com/

Respondology is working on an important mission to eradicate hate, abuse and spam online, starting to dive headfirst into LLM / Generative AI technologies to make social media a better place. We are a small team that just raised our recent Series A round and are rapidly growing. We are looking to hire Software Engineers (Full Stack) [115k-140k + equity]. Our core tech stack is: React, Ruby-on-Rails, Postgres, AWS. We are based out of Boulder, CO, but the engineering team is distributed across the US.

Learn more here: https://respondology.com/careers/ or reach me at huan at respondology.com

Respondology | REMOTE (US Based) | Software Engineers, Machine Learning Engineer, Cloud Engineer | Full-time | https://respondology.com/

Respondology is working on an important mission to eradicate hate, abuse and spam online, starting to dive headfirst into LLM / Generative AI technologies to make social media a better place. We are a small team that just raised our recent Series A round and are rapidly growing.

We are looking to hire Software Engineers (Backend and Full Stack) [115k-140k + equity], Machine Learning Engineers [140k-160k + equity], and a Cloud / Systems Engineer [110k-130k + equity].

Our core tech stack is: React, Ruby-on-Rails, Postgres, AWS. We're now using Python + PyTorch for ML work and experimenting with OpenAI's APIs.

We are based out of Boulder, CO, but the engineering team is distributed across the US.

Learn more here: https://respondology.com/careers/ or reach me at huan at respondology.com

I would love to get her setup and get some feedback! We have a free plan that you can use, and if that isn’t enough, message me at contact (at) LambdaXL (dot) com and I can give you a coupon code to get a free trial for the higher plans.

Hey, thanks for the question.

The primary difference between the two products is that they translate your spreadsheet into a JavaScript function that can run clientside whereas we are actually using Excel to do the execution in our backend.

In terms of the pros and cons, I’d expect theirs to be faster, especially for simple calculations, since they don’t have the overhead of Excel connections that we do and can avoid the network connection if you run it clientside, whereas ours is more Excel compatible and comprehensive. For example, LambdaXL can support pivot tables and charts, but they can’t. Looking at their website, they say they support “100+ Excel formulas”. I believe Excel has around 460 formulas, and so some of the edge case / niche formulas are likely not supported.

Thank you!

Hey, thanks for checking us out. Yeah we have a free forever plan to get started.

Hey HN!

Creator of LambdaXL here. Sharing a side project that I have been working on for the past couple of months now. LambdaXL is a no code platform that lets you upload an Excel spreadsheet and it will turn it into a web calculator that you can embed into your website or you can share a link to it directly.

It uses Excel under the hood to ensure full compatibility (formulas, cross sheet references, even charts) , unlike some of the other solutions online that converts your spreadsheet into PHP/JavaScript/Python/etc.

It also saves every request so you can see what your users are doing.

Here is an example of a calculator that gets generated: https://lambdaxl.com/query/embed/b3b05024-eac5-4443-a67d-52a...

That is exactly why I wrote TeamTail :P.

If you look at the client script, it does an AES-256 encryption first before sending to my server. The data I store in my database is all just the encrypted strings. You share that password with your team, and the website will do JavaScript decryption. The password is never sent back to TeamTail.

Good question. I believe there are a couple of benefits over a simple screen share that makes it worth while:

While it can function as a realtime stream, it also allows for asynchronous collaboration. For example: you can `cat` a log/config/source/etc file to TeamTail and share the link to get feedback / help. Inline comments combined with Google/Facebook/GitHub auth allows for low-friction collaboration.

And the fact that the conversations live in a document of sorts means that you can refer back to it in the future, or you can share it with people who weren't there during the screenshare "meeting".

Hey everyone, creator of TeamTail here!

TeamTail is a nights-and-weekends project that I've been working on for the past couple of weeks. It's not 100% production ready yet, but wanted to share 1) in case it is useful to any of you creators, and 2) to get some early stage feedback.

TeamTail is a tool that lets you pipe any command-line output (e.g. cat file | teamtail, tail -F file | teamtail, or even ./run-program | teamtail) and it'll create a secret link for you to share https://teamtail.dev/p/{...}.

This project was inspired by a few other tools that I've seen out there, namely https://seashells.io/ and https://streamhut.io/, with the two "killer" features of TeamTail being

1) End-to-end AES-256 encryption + SSL/TLS communication throughout

2) Inline commenting (think github style commenting) for easy, real-time collaboration.

Please let me know if you have any questions!

Hopper | Software Engineer (all levels) | Cambridge, MA / Montreal, QC | Full-time | Onsite

Hopper is the smart way to book travel on your phone. Combining petabytes of data and advanced machine learning algorithms, Hopper predicts and analyzes airfare and accommodations to save users money and enable them to travel more often.

Since its launch in 2015, Hopper has become one of the fastest growing travel apps ever with over 30 million installs to date. It is now the most downloaded flights booking app in North America and travelers have booked hundreds of millions of dollars in flights and hotels around the world using Hopper. We recently closed our Series D ($100MM) and are rapidly expanding our team.

You will be directly responsible for many of the innovative features we’ll be working on, whether collaborating with our outstanding design and product team or helping our data science group work on the bleeding-edge to personalize travel for our ever expanding population of members. We're more interested in your willingness and ability to learn than what you currently know, but this is the stack we're currently using:

- Scala

- HBase

- Spark

- Kafka

- Tensorflow

- Swift / Kotlin for our mobile apps

Apply here and mention Hackernews on your application: https://www.hopper.com/careers/