Live · 351 companies · 53,000+ open roles · refreshed daily

Fewer, sharper applications.

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53,000+ Silicon Valley tech jobs from 351 companies, scored against your résumé and tailored per posting.

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Your feed · live

53,969

open roles across 351 companies · 6,000+ new every week

Last 24hnew roles added to the feed

+425

Software Engineering

5,920

Sales & GTM

4,227

Hardware Engineering

3,081

Data & ML

2,940

Product & Program

2,403

Refreshed nightly · matched to your résumé before you wake up

351 active companies · Greenhouse · Workday · Ashby · Lever · SmartRecruiters

See full list →

AppleNVIDIAGoogleMetaAmazonAnthropicOpenAIStripeDoorDashDisneyNetflixAdobeSalesforceAirbnbPayPalSnowflakeDatabricksPalantirCloudflareSpaceX

FigmaLinearNotionCursorMercuryPerplexityxAIMistralCohereWizAMDApplied MaterialsMicronIntelAndurilWaymoZooxRobinhoodRobloxReddit

The pipeline

Four steps from résumé
to first interview.

Upload your résumé

We parse your experience and skills, then score every new role against you. Your résumé seeds every artifact below — tailored bullets, cover letter, prep card, mock interview.

PROFILE

Wake up to matches

Save filter sets — function, comp, experience, workplace — and pin one as your default. Each morning, fresh roles from 351 SV companies ranked against your profile. Skip what doesn't fit.

MATCH

Tailor for the role

Per-job résumé rewrite (1 Credit), matching cover letter (1 Credit), and an interview prep card with likely questions + live company research (2 Credits). ~30 seconds each. No fabrication.

TAILOR

Practice with a mock

Run a 5-question text or voice mock against the JD. Five-axis scorecard, per-question feedback with quoted phrases, and smart questions to ask the real interviewer when you walk in.

PRACTICE

Your applications board

Three columns.
One source of truth.

Save a role and it lands in Queue. Tailor a résumé and cover letter, then mark it sent — it slides into Open. When the conversation wraps (offer, pass, or ghosted), close it out into Complete. Every artifact you generated — résumé, cover, prep card, mock — stays attached to the card.

Queue3

Tailor & apply

Staff Software Engineer, Lakehouse Platform

Databricks · San Francisco

82✕

RésuméCover

saved 2h agoMove to Open

Senior Research Engineer, Alignment

Anthropic · San Francisco

76✕

RésuméCover1cr

saved 12m agoMove to Open

Senior Product Designer, Editor

Figma · San Francisco

68✕

Résumé1crCover1cr

saved 1d agoMove to Open

Open3

Awaiting response

Staff Product Designer, Payments

Stripe · South San Francisco

Interview

4d agoAcknowledged → Interview

RésuméCoverPrep🎤 Mock5cr

Got offer⋯

Senior Software Engineer, Platform

Linear · Remote · US

Acknowledged

2d agoRecruiter reached out

RésuméCoverPrep🎤 Mock5cr

Got interview⋯

Senior ML Engineer, Post-Training

OpenAI · San Francisco

Submitted

6h agoSubmission accepted

RésuméCover+ Prep2cr🎤 Mock5cr

Got reply⋯

Complete2

Closed conversations

Product Engineer, Growth

Notion

Offer

RésuméCoverPrep

closed 2w ago⋯

Senior Backend Engineer, Wallets

Coinbase

Rejected

RésuméCover

closed 3w ago⋯

Per-job résumé tailoring

The same bullet,
rewritten for the job.

We read the job description, find the keywords missing from your résumé, and rewrite your top bullets to land them naturally. Same facts, same numbers — written for this one job. Nothing fabricated, nothing dropped.

+5 keywords0.91 ATS score30s to a tailored draft

OOpenAI · Senior ML Engineer, Post-Training+5 KW

// Original

Built recommendation models that improved engagement on the consumer app by 12%.

// Tailored

Trained RLHF reward models on PyTorch with 8B-param backbones, improving preference accuracy 12% on internal eval suites.

+RLHF+PyTorch+eval+reward model+8B params

The cover letter · 1 Credit

A cover letter
for this one job.

Opens with the team you're writing to and a product line they actually ship. Lands the JD's keywords inside real bullets from your résumé — not a wall of buzzwords. Three short paragraphs, signed off. No fabrications.

Opens with the team and a real product line
JD keywords landed inside your résumé bullets
Three paragraphs, signed off — copy-ready

SStripe · Staff Product Designer, PaymentsCover letter

Dear Stripe Design team,

I've spent the last four years shipping payments UX at scale — most recently leading the checkout redesign that lifted authorized rate 3.4% across 11 markets. The role you've posted reads like the next version of that problem: low-friction checkout, regulatory edges, and a team that argues in Figma comments.

What drew me to this one specifically: your recent post on Link one-click flows. I've been designing against the same constraints — saved-card recognition, fallbacks for stale tokens, the SCA handoff — and would bring those reps to the team on day one.

Happy to walk through the redesign and the trade-offs we made on fallback flows. Thanks for reading.

— Casey Park

+payments UX+Link+SCA+checkout

The interview prep card · 2 Credits

Walk in knowing
what they'll ask.

A printable study card with live web research, the JD's acronyms decoded with “learn more” links, and the questions most likely to come up — split between behavioral, technical, and company-fit. Read it on the train; bring it on paper.

1Company info. Snapshot, headcount, HQ, ticker, recent signal from the web.
2Acronyms decoded. Every TLA in the JD spelled out in plain English, each with a “learn more” link.
3Likely questions. Behavioral, technical, and company-fit — drawn from this JD and this team, not a generic list.

SStripe · Staff Product Designer, PaymentsPrep card · 2 Cr

Company infoLive signal

Payments and financial infrastructure platform. Public-facing APIs (Checkout, Link, Connect) plus enterprise products powering a meaningful slice of internet revenue. Recent push around the Optimized Checkout Suite for cross-market conversion.

Employees

~7,000

Founded

2010

SF / Dublin

Acronyms & jargonDecoded

SCA · Strong Customer Authentication

EU regulation requiring two-factor auth on most card payments. The reason 3-D Secure pops up at checkout.

Learn more →

PSD2 · Payment Services Directive 2

EU law that opened bank APIs to third parties. It's where the SCA requirement comes from.

Learn more →

3DS · 3-D Secure

The challenge step shown to satisfy SCA. Adds friction; teams optimize around when to trigger it.

Learn more →

AOV · Average Order Value

Mean transaction size. Used to weigh whether checkout friction is worth it for a given segment.

Learn more →

Likely questionsFrom this JD

BehavioralWalk us through a checkout flow you led — what was the constraint, and where did you make the trade-off?

TechnicalHow would you redesign Link for a market with no card-on-file culture yet?

Company fitStripe ships fast. Where do you draw the line on shipping a flow that hasn't been usability-tested?

Mock interview · text & voice

Practice before
you walk in.

Five questions against the JD — text (5 Credits) or voice (10 Credits) with Deepgram STT + Cartesia TTS. Claude scores you on five axes, quotes the moment that hurt the answer, and rewrites it. One Credit reopens any single question.

5 questions5 scoring axes1 Cr to retry a question

FSam Rivera · Senior Product Designer @ Figma · Hiring managerCompleted

Overall

78 / 100

Solid · weighted across 5 axes

Coach summary

Strong on craft and case-study delivery — your design-system story landed cleanly. Two patterns to fix: you front-load background before the result, and you hedge with “sort of” when stakes rise. Tighten STAR and the score jumps a tier.

Communication

Depth

STAR

Confidence

Alignment

Question 3 · 7/10

Retry · 1 Cr

Walk us through a time you owned a design system migration — what broke, and how did you sequence the rollout?

Strength

Clear sequencing — token freeze, then component swap, then migration codemod. The 6-week phased rollout reads like someone who has actually shipped this.

Improvement

You opened with 90 seconds of background before naming the result. Lead with the outcome, then situate it.

“So, um, the team was sort of split between Figma variables and a custom token pipeline, and we kind of had to pick…”

Try: “We cut component-library drift by 60% in one quarter. The trade-off was Figma variables vs. a custom pipeline — we picked variables because…”

Smart questions to ask the interviewer

How does this team weigh velocity against design-system rigor when the two pull apart?
What's the most recent example of a designer here owning a metric the PM was nominally responsible for?

53,000+

open roles in the feed today

351 hand-picked companies

6,000+

new postings every week

pulled direct from each ATS

85%

of postings include compensation

filter by floor, not vibes

30s

to a tailored, ready-to-send résumé

no fabrication, ever

Manifesto

The job market is broken because everyone is spraying. The big tools ship your same résumé into a thousand black holes a month. Recruiters drown. Candidates drown. We're betting the answer is fewer, sharper applications — to the 351 companies in your feed that pay top-of-market andactually read résumés.

Ty · Founder

Pricing

Cancel anytime. No credit card required for Free.

Free

Browse the full feed.

$0/ month

4Credits to try, one time

4 Credits total, not per month. Enough for one tailored résumé, one cover letter, and one interview prep card.

✓53,000+ open roles across 351 SV companies
✓Last 14 days of postings
✓Filters · comp · workplace · experience · function
✓100 results / page
✓Match scoring on every role
✓One tailored résumé + one cover letter + one interview prep card
✓Weekly digest of new matches
✓Star companies + watchlist
✓Free ATS résumé scorer · no signup required

Start free →

Things you'll
want to know.

Will my résumé still sound like me?−

Yes. The rewrite reuses your own phrasing, your own numbers, and your own systems — nothing is invented. We never add a project, language, or year you didn't put on the original. We just pick which of your real bullets to lead with and tighten them around the keywords this posting cares about.

How is this different from rewriting my résumé manually?+

Speed and quality control. You'd spend 20 minutes per job pasting in the description, prompting carefully, and re-checking that nothing was made up. We do all of that in about 30 seconds, with a hard rule against fabrication baked in, plus an ATS keyword check on the output so you know what landed.

What companies do you cover?+

351 hand-picked tech companies in your feed today, with 53,000+ open roles. Tier-1: Apple, Google, NVIDIA, Meta, Amazon, Adobe, Salesforce, Anthropic, OpenAI, Stripe, Netflix, Cloudflare. High-growth: Figma, Linear, Notion, Cursor, Mercury, Wiz, Perplexity, xAI, Mistral, Cohere. Hardware & semis: AMD, Applied Materials, Micron, ASML. Plus defense + autonomy (SpaceX, Anduril, Waymo, Zoox) and frontier R&D (Palantir, Databricks, Snowflake). You pick the ones you want roles from.

Do I have to apply through your platform?+

No. You can download your tailored résumé as a PDF and apply through whatever portal the company uses — most professionals prefer this. For a subset of companies we also offer a one-click submit so you don't have to leave the app. Either way, the tailoring is the same.

Fewer, sharper applications.

53,000+ Silicon Valley tech jobs from 351 companies, scored against your résumé and tailored per posting.

Four steps from résuméto first interview.

Three columns.One source of truth.

The same bullet,rewritten for the job.

A cover letterfor this one job.

Walk in knowingwhat they'll ask.

Practice beforeyou walk in.

Pricing

Things you'llwant to know.

53,000 roles waiting. One feed.

Four steps from résumé
to first interview.

Three columns.
One source of truth.

The same bullet,
rewritten for the job.

A cover letter
for this one job.

Walk in knowing
what they'll ask.

Practice before
you walk in.

Things you'll
want to know.