You have your network. Your peer circles. Operators on speed dial. Decades of pattern recognition. Context, instinct, the scar tissue of having actually done it. Why doesn't your team?
Provide ongoing mentorship to your
GTM teams in AI-first world
Conversations happening right now
board just revised targets 180% up. same team, same territory. need to restructure territories and figure out rep capacity math for 3x pipeline.
meta ROAS crashed from 4.2x to 1.1x. same creatives, same audiences. do i rebuild attribution with MMM or run incrementality tests first?
launching in the US next quarter. need to figure out pricing for that market, which outbound channels work for dev tools, and whether to hire local or run remote.
repeat purchase rate is 8%, benchmark is 25%. need to build the entire lifecycle email flow from zero — what triggers, what cadence, which tool?
product page gets 8k visits/month, 0.3% conversion. need a proper conversion audit framework — copy, layout, CTA, or page speed first?
spent ₹3L on influencers last month. 2M views, 14 orders. what metrics beyond follower count actually predict purchase intent?
losing 3 weeks on every deal because legal wants redlines we’ve never negotiated. need a pre-approved fallback playbook. anyone templatized this?
migrating 800 customers to new pricing. need the comms plan, comparison page structure, and how to train sales on objection handling.
NPS cratered from 72 to 41 after a product update. need a closed-loop feedback system — detractor interviews, tagging, routing to product.
win rate dropped from 32% to 19%. can’t tell if it’s discovery, demo, or pricing. need a loss analysis framework for the funnel.
The mentors behind .brtr
Operators who’ve actually done it — not advisors who’ve just watched.
“I love teaching SEO right now because everything is changing — LLMs are rewriting the rules and most teams haven’t caught up yet. Helping them see it early is exciting.”
“I mentor on content because I’ve seen too many teams treat it as a checkbox. When someone finally connects content to revenue, the shift in their thinking is incredible.”
“I teach sales because I remember being that SDR with zero process. Watching reps go from confused to crushing quota — that’s why I keep doing this.”
“I mentor on AI in marketing because I’m living it every day. The gap between teams using AI well and those not is growing fast — closing that gap energizes me.”
“I love mentoring on outbound because it’s the one channel where sharp writing directly equals revenue. Seeing someone nail their first cold email that converts — unbeatable.”
“I teach product because I’ve watched brilliant products die from PM-PMM misalignment. Fixing that collaboration problem is the highest-leverage thing I can share.”
“I mentor on CRM because it’s the invisible backbone nobody thinks about until it breaks. Helping teams get it right early saves them years of pain.”
“I love teaching founder sales because I made every mistake myself first. Helping other founders skip that painful learning curve is deeply satisfying.”
“I mentor on social because everyone chases virality but nobody builds systems. Teaching teams to think in loops instead of posts — that’s the unlock.”
“I teach growth because I’ve worn every hat — data, ops, product, strategy. Helping founders connect those dots into one growth system is what I live for.”
“I love mentoring on growth marketing because I see so many teams running blind without data. Teaching them to measure what matters changes everything.”
“I mentor on sales leadership because I’ve built teams across five startups. The patterns repeat — and sharing what actually works saves founders from expensive mistakes.”
First, pull in your org. Outbound has three people, growth has four — we pick that up. Then you just tag each team: one-on-ones, group sessions, async chat, in-person.
Try it — click the tags to configure each team
How should this team learn?
How should this team learn?
Next, your team gets access to not just awesome, but proven mentors, practitioners, experts for their continuous learning. Got your own set of advisors? Sure, plug them in.
See your mentor network. Start chatting and / or add your own
Looking for something specific? Let’s discuss →
Your team no longer figures things out alone. They send in a question — strategy, execution, a gut-check before a big call. Their mentor picks it up in the next AMA session and responds.
Here’s what an AMA session looks like
Transcribed I’ve completely exhausted my Apollo list for fintech mid-market. Sales Nav is giving me the same people. Where else do I pull data from?
Apollo + Nav will always overlap. Try Crunchbase for recently funded fintechs — filter Series A/B, last 6 months. Then scrape their hiring pages for “head of revenue” or “sales ops” listings. If they’re hiring, they’re scaling. That’s your buying signal, not the contact database.
Transcribed Don’t segment by company — segment by persona. Build two ICPs: “IT-led deals” and “marketing-led deals.” Separate sequences, separate value props…
Teams can go on ad-hoc 1:1s whenever they feel like, or can choose to build personal curriculum that aligns with their monthly KPIs. They choose their own mentorship style.
Build a learning path — pick topics, preview the plan, get it approved
Design your personal curriculum
Assign a topic to each week — or pick from our recommendations
Recommended topics
You get a detailed view: where they’re struggling, what they’re focused on, what they’re confident about. For the first time, you get real visibility into what’s going on inside your team’s head.
Real-time coaching insights — per team member
Product wasn’t showing up in ChatGPT, Perplexity, or Gemini recommendations. Zero visibility in AI-powered search — all traffic was Google-dependent.
Vasundhra broke down how LLMs source and rank information — structured data, entity mentions, authoritative backlinks. Audited 3 product pages together and rewrote them for AI discoverability.
Product now appears in ChatGPT responses for 2 out of 5 target queries. Understands the difference between SEO and AIO content strategy.
- Optimise remaining 3 target query pages for AI citation
- Build a structured FAQ schema for top product use cases
- Track AI search mentions weekly using Perplexity + ChatGPT audits
Was asking surface-level questions and missing pain points. Prospects weren’t opening up about real challenges.
Vasundhra taught the “3-layer deep” framework: situation → impact → implication. Role-played 4 discovery scenarios with live feedback.
Now consistently hitting qualification criteria. Discovery-to-demo conversion up 22% since starting sessions.
- Record next 3 discovery calls for async review
- Practice multi-threading — mapping 2+ stakeholders per deal
Pipeline bloated with 40+ stale opportunities. Forecast accuracy at 52% — manager can’t rely on the numbers.
Walked through a pipeline audit together — flagged 18 deals to close-lost, re-staged 7 others. Set up a weekly 15-min hygiene routine.
Still inconsistent on the weekly routine. Needs accountability check-ins to build the habit.
- Complete pipeline scrub — target <25 active opps
- Set up Friday 4pm hygiene block on calendar
- Share forecast with mentor weekly for accountability
Freezing on pricing objections mid-call. Losing deals that should have closed because she couldn’t reframe value fast enough.
Arjun taught the “isolate → acknowledge → reframe” pattern. Ran 6 live role-plays on pricing and competitive objections with real deal context.
Handled 2 pricing objections successfully on calls this week. Confidence noticeably up — still needs reps on competitive positioning.
- Build a battle card for top 3 competitors
- Practice “why us vs. competitor X” in next session
- Record one real objection call for async review
Wanted to automate lead qualification but had no experience with AI agent setup or CRM integrations.
Arjun paired with her to build 2 qualifying agents from scratch — one for inbound leads, one for re-engagement. Connected both to CRM staging.
Both agents tested and working. Inbound agent auto-qualified 14 leads last week. Ready for production deployment.
- Deploy inbound agent to production CRM
- Monitor false-positive rate for 1 week
Pitching product features within the first 5 minutes. Prospects disengage before she uncovers their actual pain.
Reviewed 2 recorded calls together. Arjun flagged the exact moments she jumped to pitch and showed how to stay in “curious mode” longer.
Understands the pattern but needs more reps. Only 1 session so far — hasn’t had enough practice to build the muscle memory.
- Book 2 more discovery sessions this month
- Use “no pitch for first 10 minutes” rule on next 5 calls
- Submit 1 call recording for async mentor feedback
SDR → AE handoffs were messy — context lost, AEs re-asking questions. Lead routing was manual and slow.
Vasundhra helped map out the full handoff flow, identified 3 data gaps, and co-built an automated handoff template that pre-fills AE briefing docs.
2 handoff workflows live and running. AEs reporting 40% less context-gathering time. Lead routing automation next.
- Build lead routing logic based on territory + deal size
- Add auto-notification to Slack when handoff triggers
- Document the workflow for the rest of the team
Forecast was wildly off every month. No clear process for updating deal stages or removing dead deals.
Vasundhra set up a custom pipeline dashboard together with him. Defined clear exit criteria for each stage and a weekly review cadence.
Forecasting accuracy jumped from 61% to 88%. Pipeline is clean, stages are accurate, and the weekly routine is sticking.
- Maintain 85%+ forecast accuracy for 4 consecutive weeks
- Help onboard Aman on the same hygiene process
Doesn’t understand how AI search differs from Google SEO. Keeps writing content the old way — keyword-stuffed pages that LLMs ignore completely.
Vasundhra showed how ChatGPT and Perplexity pull answers — entity clarity, structured claims, authoritative sourcing. Compared an AIO-optimised page vs. Rohit’s current pages side by side.
Gets the concept but hasn’t applied it yet. Needs hands-on practice rewriting pages before he can do it independently.
- Rewrite 3 product pages using AIO best practices
- Submit rewrites for async mentor review before next session
- Shadow Aman’s AIO audit workflow for cross-learning
Consumable bite-sized content for reinforcing everything they’ve learnt, time and again — via reels, carousels, posts for mindless scrolling. Learning, IG-style!
Your team’s learning feed — always fresh, always relevant
What’s coming next
The roadmap for where .brtr is headed.
Your mentorship workflows where your team already works — nudges, check-ins, scheduling, all integrated.
Learn on the drive, between meetings, on the go. No need to carve out separate time.
An expanding network of vetted mentors across industries, roles, and specializations.
Structured tracking that ties every session, topic, and insight directly to revenue outcomes.
Cross-company challenges, community events, and shared learning across revenue teams.
Hire with confidence — see how candidates performed, learned, and grew at previous companies.
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