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From Dusk Till Dawn: Waymark

Career direction for people who do not yet know what they want, built from the real job market rather than a personality quiz. Built overnight by a team of three at the From Dusk Till Dawn hackathon in Prague, then hardened for a public demo.

three-person teamovernightresearch agent · adaptive intake · voice

// evidence

build
21:00 – 7:14
team
three people
my part
intake + roadmap
track
Deep Research
Waymark intake screen on sample data: a task card in the style of a job ad, with Not for me, Maybe and I’d enjoy this buttons
Intake: react to a task, not a quiz question. Sample data.

// The event

From Dusk Till Dawn #01, run by the Agents 0.0.7 community at Etnetera in Prague, for teams of two or three. Building started at nine in the evening and the code froze at sunrise, 7:14. The submission was the codebase and a two-minute demo video, with presentations at half past nine.

We took the Social Media Deep Research track: an agent that researches a person or an organisation for a given goal. Waymark points that research at the job market around one person’s goal. No placing.

// The problem it picks

Career advice for someone who is not sure yet is mostly vibes: personality quizzes, top-ten job lists, and match percentages nobody can explain. Job ads, meanwhile, already say exactly what employers pay for, in their own words.

// How it works

Intake from job ads
Instead of a quiz, the seeker reacts to everyday tasks taken from real job ads. Each next card is the one that best separates the paths the engine is least sure about, and it stops once the top three are clear. It can also be talked through by voice.
Live market research
An agent reads job boards, company pages, registries and salary sources for the seeker’s locations. Every requirement is extracted with a verbatim quote, and if the quote is not in the fetched page, the claim is rejected.
Up to three paths
Open roles, salary ladders where a source gives one, companies hiring now — each with linked evidence. No match percentage and no hiring probability.
A sourced roadmap
One chosen path becomes learning chapters, and each skill shows how many current ads actually ask for it.

// My part

The seeker side: the guided intake and adaptive task cards, interview and CV reading, validation, the roadmap planner, privacy controls, the ElevenLabs voice integration, wiring the live UI, and the deployment.

// What it is not yet

A hackathon project, and the repository says so. The task deck still runs on stub occupations, the API sits behind one shared key instead of real accounts, and recommendation quality has not had a human evaluation.

So the public demo runs on sample data only. Anyone can click through the whole product, nothing they type leaves the browser, and no paid model is ever called.

// the product

Waymark research screen on sample data, listing career paths, companies, job ads, markets and shared links as checked
A finished research run. Sample data.
Three career path cards on sample data, with open roles in the selected markets and monthly salaries
Three paths, no scores. Sample data.
Isometric learning roadmap on sample data for a backend developer path, with chapter tiles
The roadmap for one chosen path. Sample data.