# Othmane Khadri

Othmane Khadri builds AI-assisted go-to-market workflows for B2B sales and marketing, sharing practical examples of outbound campaigns, CRM follow-up and deal recovery. Khadri describes this work through the agency Earleads and the GTM operating system Yalc.ai.

- Profile: https://b2binfluencer.marketing/creators/othmane-khadri/
- LinkedIn: https://www.linkedin.com/in/othmane-khadri-b48162236
- LinkedIn followers: 18,939
- Median of last 5 posts: 15 reactions, 2 comments (checked 2026-11-02)
- YouTube: https://www.youtube.com/channel/UCTeJD8QHsOqewWJxYp5Dvwg
- Topics: artificial-intelligence, sales, content-marketing, ai-agents, go-to-market-strategy, b2b-sales
- Based on 8 dated posts, latest 2026-10-08

## Summary

Othmane Khadri is most useful for practical AI-assisted B2B outbound, CRM follow-up, and lost-deal recovery workflows.

- Best for: B2B SaaS CRM, sales engagement, or revenue intelligence campaigns wanting practitioner-led lost-deal recovery workshops.
- Not for: Fully automated outbound platforms promising SDR replacement and no human review do not fit.
- Check first: Confirm rate card, audience demographics, and engagement on lost-deal recovery posts.

### Takeaways

- A service sells taste, context, execution, accountability, and outside feedback that an agent cannot.
- Lost deals should be reworked monthly and reopened with the specific reason they died.
- Judge outbound campaigns by good calls per 100 leads and watch for ICP drift.

## Main ideas

- **A service sells what an agent cannot: taste, context, execution, accountability, and outside feedback**: Khadri argues that once a client can point their own agents at the same models and sources, the deliverable stops being the product. What is left to sell is judgment about which outputs to discard, private context that was never published online, the last stretch of work after the deliverable is handed over, a human who owns the outcome, and a loop in which real market results rather than self-grading improve the work. Khadri treats a model's willingness to ship average work as the weakness to sell against.
- **AI is strong at deterministic, math-like work, and the last part of a job stays human**: Khadri's underlying view is that models excel where the problem can be reduced to probability and math, which is why coding gets absorbed fastest, while a layer of taste, judgment, or consciousness is not close to solved. In the sales version of the argument, roughly the first slice of a job gets automated and whatever sits between that and the paid outcome is owned by a person. Khadri cites Roy Amara, former president of the Institute for the Future: people overestimate a technology in the short run and underestimate it in the long run.
- **Lost deals should be reworked on a monthly cadence and reopened with the specific reason they died**: Khadri treats closed-lost deals as a standing backlog rather than a write-off, and argues the reopening message works when it names the concrete worry that stalled the deal instead of asking generically for another chance. The workflow Khadri describes pairs that human habit with an agent that reads the record and clusters the objections, so the ask going out is informed by patterns across many losses rather than one memory.
- **Judge outbound campaigns by good calls per 100 leads, and watch for ICP drift list by list**: Khadri argues reply rate flatters campaigns that produce conversations without fit, so the more useful measure is how many good calls a campaign yields per hundred leads loaded. A related warning is that targeting drifts one list at a time, as job titles quietly enter an audience nobody decided to include, so the drift is invisible unless something checks for it. Closed deals become a test of whether the rest of a campaign shares the buyer's context.
- **Content should be led by the best achievable outcome, not by efficiency**: Khadri argues against making "how do I do this as efficiently as possible?" the guiding question for content, calling content the most asymmetrical-return marketing channel available and urging the best available outcome as the standard instead. The claim is presented as an opinion about how the channel should be run rather than as a documented program.
- **Building in public is part of the work, including open-source agents**: Across the posts, agents and skill libraries are released openly as they are built, tied to Yalc.ai as a GTM operating system or harness and to the Earleads agency. Khadri presents the release as the work itself rather than a marketing layer on top of it, and one release is deliberately provocative: an agent built to waste the time of the automated commenters Khadri had argued were bad for business.

## Work to read

- [Why a buyer should pay you when they could run their own AI agents](https://www.linkedin.com/posts/othmane-khadri-b48162236_last-week-i-upsold-a-6-figure-deal-but-it-activity-7518661756895014912-1b64)
- [Rebuilding lost deals with an agent wired into the CRM](https://www.linkedin.com/posts/othmane-khadri-b48162236_we-claude-and-i-revived-a-deal-tagged-as-activity-7508141168656953344-cvDK)
- [Five Claude skills for lemlist and Claap users](https://www.linkedin.com/posts/othmane-khadri-b48162236_this-post-is-just-for-lemlist-claap-users-activity-7521553804430065664-XJHS)
- [An agent built to waste AI commenters' time](https://www.linkedin.com/posts/othmane-khadri-b48162236_i-avenged-all-of-us-getting-ai-comments-on-activity-7510681050323283968-nCrD)
- [Where the AI interest started, and what Khadri thinks the models cannot do](https://www.linkedin.com/posts/othmane-khadri-b48162236_i-got-ai-pilled-in-2022-in-the-weirdest-way-activity-7519373126300991489-oMEv)
- [A short argument about how to run content](https://www.linkedin.com/posts/othmane-khadri-b48162236_unsolicited-advice-for-anyone-leading-their-activity-7522362615059103744-Sw0a)

## Brand relationships

- **Earleads** (owned_business)
- **Yalc.ai** (owned_business)
- **Claude (Anthropic)** (mention)
- **lemlist** (mention)
- **Claap** (mention)
- **Attio** (mention)
- **Gradient** (mention)

## Partnerships

The reviewed posts document no sponsorship packages, paid placements, or media-kit terms for Othmane Khadri. His commercial activity in these posts is service-based rather than publisher-style: he describes running the GTM agency Earleads and the GTM operating system Yalc.ai, and he distributes some agent tooling for free as open source. That distinction matters for a buyer's plan. There is no published rate card, audience or deliverable specification, or partnership inquiry route in the material reviewed, so a campaign would have to be scoped directly with Khadri rather than selected from an advertised format. Nothing here supports a claim that he never accepts sponsorships; it only means no offer is documented in the posts reviewed. His most partnership-relevant behavior is building and describing agent workflows that plug into other vendors' products, including a five-skill library for lemlist and Claap users and a lost-deal agent run through Attio and Claude Code. Those are integration and consulting examples, not evidence of payment or a formal partner program.

## Alternatives

- João (Joe) Moura: Choose Moura when the session needs a shared decision framework for a leadership audience rather than a single-task script. The seven-stage ladder — prompter, monitor, delegator, manager, conductor, ringmaster, voice-memo CEO — gives a sales or GTM leadership room a common vocabulary for judging where their team currently sits, and each stage ships with a test question, such as whether work happens before anyone asks for it. The workflow-versus-agent post adds the sharpest single diagnostic in the comparator set: did you hand the system a list of steps or a goal? That test takes one minute to apply to an accounts-payable-style process and produces a clear answer. For a workshop whose real subject is deciding what to hand over, this material teaches the decision; Khadri's material demonstrates the outcome of one decision already made.
- Isabella Bedoya: Choose Bedoya when the audience is one-person or small professional-services businesses and the brief is about replacing routine labor around selling, not about winning back lost enterprise deals. Her published walkthrough shows a full intake pipeline: payment link, agreement, AI voice-agent onboarding that collects documents and context, calendar unlock, call analysis, and CRM update. The follow-up post reports the output of an AI-run sales motion spanning calls, web chat, text, and email — 19 buyers, $4,829 in revenue, $202 in AI and subscription cost — and frames the value as zero minutes on sales calls and zero commission. For a session whose promise is headcount and time saved on low-ticket offers, that is a more direct story than Khadri's.
- Yousif Astarabadi: Choose Astarabadi when the brief shifts to DTC ecommerce demand generation. His posts cover creative testing velocity — pick one product, produce twenty AI ads, run them against the current control on the same budget, and move spend batch by batch — and an AI-search audit for Shopify stores that sorts Search Console queries, checks what ChatGPT-type assistants search for, and matches shopper questions to product or collection pages. For a session on fast creative iteration or AI-search visibility in an ecommerce catalog, this is closer to the buyer's daily work than anything in Khadri's material.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/