Fig – Experimenting with long horizon prediction for personhood
Hey HN, We explored how decision-making happens under severe information asymmetry and used career exploration as a test subject. In practice, people converge on a small set of highly legible default paths, with little visibility into credible alternatives. That’s why we’re building Fig, a tool for reasoning about career paths when the next step isn’t obvious, given the dependence on fleeting personal preferences. Most existing tools respond by collapsing uncertainty into a single recommendation or by modeling careers as linear trajectories. That works reasonably well at the recruiting…
What it does
In the maker’s words, at launch
Hey HN, We explored how decision-making happens under severe information asymmetry and used career exploration as a test subject. In practice, people converge on a small set of highly legible default paths, with little visibility into credible alternatives. That’s why we’re building Fig, a tool for reasoning about career paths when the next step isn’t obvious, given the dependence on fleeting personal preferences. Most existing tools respond by collapsing uncertainty into a single recommendation or by modeling careers as linear trajectories. That works reasonably well at the recruiting stage, but fails earlier, during discovery, when paths are nonlinear and highly path-dependent. At that stage, the challenge is understanding which sequences of moves are even plausible. Fig is built for that gap. It treats career exploration as a reasoning problem rather than a prediction problem. The system builds context from multiple signals, including structured data like résumés and work history, alongside behavioral signals such as long-form content people actually engage with (for example, YouTube watch history related to skills or domains of interest). These inputs are grounded in observed career transition data to generate and compare multiple plausible trajectories, instead of producing a single “best” answer. Fig helps users reason about what they could do, given their current state, constraints, and how different choices tend to compound over time. You can try it here: https://figcareer.com We’d appreciate feedback on whether this framing is useful, where it breaks down, and what additional signals would make long-horizon decisions easier to reason about. Happy to answer questions!
Does the same job
all alternatives →- IMI made an AI based career navigator2024 · moveup.ai · ▲9
Many people express that despite working hard, they don't feel like they are in the right career. Instead of getting adhoc advice from friends and family or requiring serendipitity/fortune in landing in a desirable career progression, I made a career planning tool which lets you upload a resume or public linkedin profile and see alternative career paths. You can play with your map, explore alternative trajectories, specify a goal, understand job titles, see job listings and more. I am looking to understand what, if any aspect of this tool is useful, and how I would proceed to build upon…
- OAOsmoar: A Bayesian Suggestion Engine2010 · osmoar.com · ▲6
A friend and I are launching an alpha first thing in 2011. We're trying to gain some momentum and whatnot, so we're opening early registration as of tonight. We're planning to develop a Bayesian network to derive suggestions. If you're interested in seeing our progress, check it out. Edit: Any and all suggestions, criticism, advice, etc is highly appreciated!
- UBUni Beta – a decision making platform for teams2020 · ▲7
Hey HN! - As you go into the weekend check out Uni (https://uni.fyi), we recently came out of closed beta and are excited to share what we’ve built to help remote teams involve the right people from their teams to make smart decisions! We’re an early-stage spinout from Cornell Tech and we see decision making as a natural wedge to actualizing inclusion within companies. Since there are no go-to products out there which facilitate this process fully, decision makers often-times become overwhelmed and frustrated with including people in their decision process resulting in an exclusive…
- RNRethink note-taking and learning experience2023 · cmaps.io · ▲9
Hey! Just launched my new project. The cmaps platform was created after a long period of research and development in the field of education. It's known that human thinking is not linear, but rather associative. Without realizing it, we are constantly making connections between the things we learn. I believe that the best way to learn is to make these connections explicit. Instead of studying and taking notes in a linear fashion, we should be able to create a map of the concepts we are learning. This way, we can see the big picture and understand how everything is connected. I can say that…
- STShadow Testing for Decision/or Algorithms2023 · nextmv.io · ▲7
Hi HN! I’m a founder at Nextmv (YC 20) [1] We’ve been building out optimization algorithm testing capabilities (acceptance tests, etc.) and just shipped our first pass at shadow testing [2, 3]. In our experience, tools like shadow testing save time and build confidence in decision models, but tools also take time to build and maintain. We’ve seen shadow testing tools in the machine learning and MLOps space [4], but not so much in the operations research community. A lot of folks here [5] seem experienced with optimization models and we’d love to have your feedback! What do you like? What…
More work this month
the category →
The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com
The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.com
Launched alongside, January 2026
the whole month →- IN
Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
AI · Jan 2026 · cannoneyed.com
Automatic AI-powered code reviews the moment you open a PR
Dev tools · Jan 2026 · kilo.ai
