AI research before the interview
AI gathers your
interview resources. For under $0.50.
Paste a company name. Our AI researches its stack, culture, and real interview reports, then gathers the questions you'll face, each backed by evidence.
Someone else interviewing for your role is already prepping with the questions. Are you?
System Design · 3 questions
Design a rate limiter for the payments API. How do you handle idempotency keys?
HighPrep: Cover token storage, retry windows, and duplicate requests mid-flight.
How would you design a globally consistent ledger for money movement?
HighPrep: Discuss double-entry accounting, idempotency, and eventual consistency trade-offs.
Algorithmic Coding · 2 questions
Given a stream of transactions, detect duplicates within a sliding time window.
HighPrep: Hash map plus deque; talk through the memory trade-off at Stripe's volume.
Behavioral · 2 questions
Tell me about a time you shipped under an ambiguous deadline.
MediumPrep: Anchor to Stripe's 'move with urgency' value; quantify the outcome.
Describe a disagreement with a teammate about an API design. How did it resolve?
MediumPrep: Show you argued from user impact, not preference, and committed after the call.
How it works
From company name to evidence-backed questions
Four steps, one AI agent, about three minutes.
01 · Target
Name your target
Type the company you're interviewing with; that's all we really need. Add an interviewer to factor in their public talks and writing, then pick the rounds you care about: coding, system design, behavioral, or the whole loop.
Target
The company and role you are interviewing for, helps find relevant questions.
Company *
Stripe
Company URL · preferred
https://stripe.com
Role / level · optional
Senior Backend Engineer
Years of Experience · optional
3-5
Team / org · optional
Payments Infra
Location · optional
Bengaluru, India
Tech Stack · optional
React, Node.js, PostgreSQL
Job Description · optional
Own the payments ledger service. Design idempotent APIs and keep them reliable past 10k req/s.
Recruiter notes · optional
Phone screen done. Next: two coding rounds, a system design round, and a team-fit chat.
Interviewers · optional
Rounds to Gather
You can add more rounds later, from the finished report.
Report Sections
Drop what you already know, you are only charged for what the run researches.
Effort
How wide the agent searches, and its spend ceiling.
Under the hood
How the agent actually works
No black box. Here's exactly what runs when you hit gather, and where your credits go.
stripe interview process
→ loop format
stripe system design questions
→ system design round
stripe behavioral values
→ behavioral round
It plans before it searches
The agent resolves the company's real domain and drafts a set of targeted queries, each with a stated purpose, before a single search runs.
It reads the live web
Real-time search across engineering blogs, job posts, and first-hand candidate reviews, then it pulls the full pages that matter, never a stale cache.
It researches only what you pick
Choose your rounds and report sections; the agent skips everything you switched off, enforced in code, so you never pay for evidence you didn't ask for.
You set the depth
Low, Medium, or High tune how wide it searches and how many questions you get, from an 8-question scan to a 50-question sweep, each with a hard spend ceiling.
How do you guarantee idempotency on the payments API?
Every claim is checkable
Each question ships with a confidence level and links to the exact source it came from. No black box; verify any question yourself.
Transparency
Where the questions actually come from
We search the open web, then measure what came back. What we found is what decides the report you get.
First, we hunt for first-hand accounts. The agent drafts targeted queries and goes looking for people who actually interviewed there, plus what the company publishes about itself. One thing it never touches: LinkedIn.
These are search targets, not partnerships. We hit the open web like you would, just faster and wider.
below threshold → broaden, don't ship
Then we count what came back. A result only counts as evidence if it carries real content, not a title echo or a nav blurb. Company overviews and interviewer pages don't count toward it at all: they say nothing about how the place interviews. Below three substantial sources, or below five with not a single full page worth pulling, the agent stops and broadens instead of shipping you a thin report.
Two rules we can't override
Applied in code after the model answers, not instructions we ask it to follow.
No source link, no confidence
If a question comes back without a single citation behind it, its confidence is forced to Low, whatever the model claimed.
Inferred can never be High
When a question is built from proxy signals instead of first-hand accounts, its confidence is capped at Medium and it ships with the Inferred tag.
<$0.50
Per report
~3 min
Start to finish
100%
Questions cite evidence
$0
Subscription fees
Trusted for
Prepare for top tech companies & also for any staged startups
The honest comparison
Why not just ask ChatGPT?
A general chatbot can guess at interview questions. Here's what it can't do that we do.
Where the answer comes from
Can you verify it?
How sure is it?
How specific is it?
What it costs you
Reading a report
What the confidence badges mean
Every pinpointed question carries a signal for how sure the agent is, so you know where to spend your prep time.
Design a rate limiter for the payments API.
High confidence. Multiple independent sources agree. Study these first; they're the safest bet.
Tell me about a time you shipped under an ambiguous deadline.
Medium confidence. Grounded in real evidence, but from fewer or weaker sources. Worth your time, just not first.
How would you improve our onboarding flow?
Low confidence. A longer shot. Good for a skim, not where your limited prep hours should go.
Built from proxy signals rather than a first-hand account of interviewing here. An inferred question can never carry High confidence — see how we source questions above.
Why Interview Resources?
AI research built for your exact interview, compared to the alternatives
| Feature | Interview Resources | Generic Prep | Coaching |
|---|---|---|---|
| Company-specific questions | — | Sometimes | |
| Evidence-backed questions | — | Sometimes | |
| Live research process | — | — | |
| Interviewer targeting | — | Expensive add-on | |
| Prep time per company | 3 minutes | Hours | Multiple sessions |
| Starting price | $1 (≈2 reports) | Free | $200+ |
Frequently Asked Questions
Metered billing
You're charged only what a run actually spends, never a flat fee.
Hard cap every run
A run can never spend past its effort ceiling or your balance.
No subscription
Buy credits once and spend them only when you run a report.
Every interview you take unprepared is a $100K coin flip.
Simple, transparent pricing
No plans, no subscription, just credits. Every feature is included in every pack. A report costs what it costs to research: typically about 46 credits, under $0.50, and never more than 260.
Starter
Try it for $1 — about two reports
100 credits
- 100 credits
- About 2 research reports
- Pinpointed questions with evidence
- Interviewer research
- PDF and JSON export
Bundle
Stock up, stop topping up
550 credits
- 550 credits
- About 11 research reports
- Everything in Starter
- 10% bonus credits — 500 paid, 550 granted
Max
For a full interview season
1200 credits
- 1200 credits
- About 26 research reports
- Everything in Bundle
- 20% bonus credits — 1000 paid, 1200 granted
Prices in USD. You'll be charged in your local currency at checkout.
A note from the builder
I built this after one too many evenings lost to Glassdoor threads and half-updated Reddit posts, trying to guess what an interview would actually cover. A coaching call cost more than the job hunt could justify, and a generic question bank never knew which company I was even talking to.
So Interview Resources does the digging I used to do by hand, shows its sources instead of asking you to trust it, and costs less than a coffee per report. If the public data on a company is thin, it says so instead of pretending otherwise. That's the whole promise: real research, shown honestly, priced fairly.
— Sayan
Builder, Interview Resources
Know the questions before you walk in.
AI-researched, evidence-backed reports for under $0.50 each. No subscription.
Can't you spend $1 for your $100K job?