Oubai Hendi

Leads arrive, products improve, teams stay busy, but acquisition, activation, and retention never become one engine. They build AI-driven growth systems across product-led growth and lifecycle work, funnel optimization, revenue operations and automation, and continuous experimentation, positioning them as infrastructure rather than campaigns.

The B2B SaaS post doubles as an engagement pitch, with unusually specific criteria: product-market fit already achieved, Seed to Series B or strong bootstrapped growth, and a willingness to invest in connecting the funnel.

• It rules out idea-stage startups, buyers seeking only social media or basic marketing execution, and anyone looking for cheap, quick leads.
• Hendi carries the same framing into an Effie Awards judging post, describing effectiveness in commerce as connecting acquisition to activation to retention, rather than focusing on campaigns alone.

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Any AI can write a caption; knowing which shot type sells a particular product, which caption structure drives clicks at a particular hour in a particular market, and which video format is working this week takes years. Soshify, they say, draws on that accumulated judgment, with training from expert marketers, designers, and video producers, rather than better prompting.

The product introduction post names specific cases: knowing which shot type sells a perfume bottle, which caption structure drives clicks at 2am in Riyadh, and which video format is trending on TikTok that week.

• The position is summed up in the line "ChatGPT is a text box.
• This is experience."

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The design principle: AI should work for people rather than replace them. Across both products, the test is whether technology stays credible as it scales.

Announcing a CNN Business Arabic feature, Hendi recounted moving from the UAE to the United States and described twigBIG’s patented Digital Fitting Room, which they say is intended to reshape e-commerce and interaction in virtual spaces and make AR usable across sectors, not only e-commerce.

The emphasis shifts with the audience.

• Soshify’s launch update leads with speed and autonomy: a median 2.8 minutes from pasting a store URL to a first published post, 93% of brands publishing in their first session, and publishing with no prompting at all.
• Hendi’s trust and time-to-value messages foreground different things depending on whether the focus is mission or adoption.

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Combining product-led and sales-led growth is hard; a product-led approach does not eliminate marketing and branding; the feedback loop changes with the motion; and homepage copy can make or break an acquisition strategy. The practical implication: messaging work starts from the motion, not a template.

The post is a four-point list in quotation marks with no named author. It ends by pointing readers to a Substack on AI, growth marketing, go-to-market strategy, and revenue operations; read it as a statement of Hendi’s own orientation, not as a sourced argument with evidence attached.

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The Digital Fitting Room is described as patented technology intended to streamline and democratize AR for all sectors and multiple applications, taking virtual try-on beyond fashion retail. The stated motivation is human-centered innovation, against the backdrop of the founder story of building from the UAE to the United States.

twigBIG is described as a social shopping marketplace for fashion and beauty brands that reached 250K users and $200K GMV in 2021. A later post positions it as TikTok Shop before TikTok Shop existed in the United States, two years ahead of the US launch of the same concept.

The AR thread runs from a 2021 social marketplace to patented fitting-room technology pitched as cross-sector infrastructure, with the AI content system Soshify built in between. Throughout, the technology is framed as infrastructure for other businesses, not a single-purpose app.

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They attribute growth to organic loops with zero paid acquisition. This measurable standard also speaks to campaign planners who care about activation rather than reach.

Two weeks after Soshify’s launch, Hendi reported 89 brands onboarded with no paid acquisition, a 94% weekly active rate described as the highest seen in the category, a median 2.8 minutes from pasting a URL to a published first post, 93% of brands publishing in their first session, and 3,320 AI product images plus 230 AI videos generated. The post closes with a concrete trial step: paste a store URL and watch it work.

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They also cite their role in the professional community: serving as a final-round judge for the 2026 Effie Awards United States in the Commerce & Shopping category, evaluating agencies’ work on measurable impact.

The judging post lists what is changing in commerce work — AI, personalization, data infrastructure, and product-led growth — and restates the acquisition-to-activation-to-retention chain as the unit of evaluation. It also offers an opinion, not a finding: that the Effies are more exclusive and reputed than the Cannes Lions.

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It’s the right first read when weighing them for a B2B SaaS brief.

Hendi opens with a reframe: most B2B SaaS startups don’t have a growth problem; they have a systems problem.

• Leads arrive, the product improves, teams stay busy, but acquisition, activation, and retention remain disconnected.
• They build across four areas: product-led growth combined with lifecycle marketing; funnel optimization; revenue operations and automation; and continuous experimentation.
• The post pitches hands-on engagements and specifies who isn’t a fit: idea-stage startups, buyers seeking only social media or basic marketing execution, and anyone looking for cheap, quick leads.

For brands planning a campaign

Use this as a scoping test, not a résumé line.

• A brief to “get us more leads at low cost” falls outside the stated fit; a brief to connect acquisition, activation, and retention in one measurable system matches it.
• The four component areas also offer a vocabulary for testing whether a proposal is concrete.

This post shows what the product does in practice and how Hendi measures it.

Two weeks after launch, Hendi reports onboarding 89 ecommerce, small business, and SaaS brands without paid acquisition, attributing the growth to organic loops.

• The figures they highlight: a 94% weekly active rate, a median of 2.8 minutes from pasting a store URL to publishing a first post, 93% of brands publishing something in their first session, and 3,320 AI product images plus 230 AI videos generated.
• The product is described as scanning a store, learning the brand, watching competitors, and running content, video, SEO/GEO/AEO, lead capture, and publishing across 14 platforms without prompting.
• The figures are self-reported and aren’t accompanied by underlying data.

For brands planning a campaign

Use this to generate questions.

• If you’re considering the product or a role built on it, ask what the 94% weekly active rate is measured against and over what period before repeating it.
• The 2.8-minute claim is a strong hook for a demo-led campaign; without an audit, verify it before quoting it as fact.

Introducing the assistant as “Soshi,” Hendi lists the jobs it covers: product photography and video, captions, e-commerce social media, publishing to 14 platforms, and eventually broader marketing.

• The differentiation claim is the key point.
• Any AI can write a caption, they argue, but knowing which shot type sells a perfume bottle, which caption structure drives clicks at 2am in Riyadh, or which video format is trending on TikTok this week takes years of marketing, design, and production experience.
• The system, they say, was trained on that experience.
• “ChatGPT is a text box.
• This is experience” sums up the position.

For brands planning a campaign

The sellable idea is expertise encoded in training data.

• A brand evaluating this would ask what the training corpus contains, who the named expert marketers and producers are, and whether their judgment generalizes to the brand’s category.
• That question is both the campaign’s weak point and its hook.

Hendi describes themselves as an AI product and growth leader with 20 years of experience building and scaling companies, then lists claimed results: $1B in conversion value at Verizon, 80M users at SRMG, $100M in enterprise revenue across 40 companies at elev8, and $1M ARR at imagine.io.

• They also say they built two companies from scratch. twigBIG is described as a social shopping marketplace for fashion and beauty that reached 250K users and $200K GMV in 2021, two years before TikTok Shop launched in the United States.
• Soshify is described as built solo and live with paying customers.
• The post says they are actively looking for a full-time role.
• No other material in the set supports these figures.

For brands planning a campaign

Treat this as a list of claims to verify, not credentials. Hendi’s stated full-time job search also matters commercially: brands seeking an exclusive or long-term partnership should clarify availability, and anyone quoting these figures publicly should confirm them first.

Hendi announces a feature on CNN Business Arabic, sharing a journey from the UAE to the United States and the vision behind twigBIG.

• The stated mission is generative AI that is “credible and human-centered,” with content judged on trust, transparency, and authenticity rather than speed, using the data behind the content.
• The post describes a patented “Digital Fitting Room” intended to reshape e-commerce and virtual-space interaction and bring AR beyond a single sector.
• Its closing argument: AI should work for people, not replace them.
• The post is Hendi’s own announcement and doesn’t include the interview itself.

For brands planning a campaign

For a brief built around AI, trust, or human-centred innovation, this is the reference point and the tone to match. The underlying interview wasn’t reviewed, so treat the CNN mention as Hendi’s statement, not an independently confirmed placement.

Hendi says they were invited as a final-round judge for the 2026 Effie Awards United States, held in New York, evaluating entries in the Commerce & Shopping category.

• They describe the award as recognising measurable business results, not creativity alone, and argue that effectiveness today depends on connected systems for acquisition, activation, and retention that turn attention into sustainable revenue.
• The post also claims the Effies are more exclusive and reputed than the Cannes Lions—an opinion, not a finding.

For brands planning a campaign

This matters for briefs involving award entries or effectiveness case studies: the stated judging lens favours outcomes over craft alone. For general campaigns, it’s context, not a selling point on its own.

Four points: combining product-led and sales-led growth is hard; a PLG approach does not replace marketing and branding; the feedback loop changes with the go-to-market motion; and homepage copy can make or break an acquisition strategy.

For brands planning a campaign

Thin material. Use it to open a conversation about go-to-market motion, not as a source of method or evidence.

The work described builds AI-driven growth systems across four areas — product-led growth and lifecycle, funnel optimization, revenue operations and automation, and continuous experimentation.

Defines fit in operational terms rather than industry labels: product-market fit already achieved, Seed to Series B or strong bootstrapped growth, and a willingness to invest in infrastructure rather than one-off campaigns. The post explicitly rules out idea-stage startups, buyers wanting only social media or basic marketing execution, and buyers looking for cheap, quick leads.

For brands planning a campaign

For a SaaS brief focused on scaling acquisition, activation, and retention, this is directly on-topic. Expect a diagnosis of how the funnel stages connect before channel or content recommendations, with the engagement framed as infrastructure rather than campaigns.

Examples: Source 1 · Source 2 · Source 3

The post also points readers to a Substack covering AI, growth marketing, go-to-market strategy, and revenue operations.

Compact, numbered arguments that name the tradeoff rather than prescribe one motion — emphasizing how the choice of motion changes the feedback loop and the copy needed to carry it.

For brands planning a campaign

Useful for a brand deciding how much of its growth should be product-led. Content and messaging work would likely start from the GTM motion, treating homepage copy as a measurable acquisition variable rather than a branding exercise.

Examples: Source 1 · Source 2

As described in the posts, it scans a store, learns the brand, generates product photography and video, writes captions in more than 100 languages, and publishes across multiple platforms — by voice, by chat, or in a fully autonomous mode. A launch post reports 89 e-commerce, small-business, and SaaS brands onboarded in two weeks with no paid acquisition, a 94% weekly active rate, a median 2.8 minutes from pasting a URL to publishing a first post, and 3,320 AI product images and 230 AI videos generated.

Draws the quality line at experience rather than model capability: any AI can write a caption, but knowing which shot type sells a perfume bottle or which caption structure drives clicks at a given hour is the differentiator.

• The system was trained on that knowledge.
• The pitch ends with a concrete trial step — paste a store URL and watch it work.

The creator reports these launch figures in their own posts. They cover a two-week period after launch, not sustained performance.

For brands planning a campaign

Relevant for an e-commerce or direct-to-consumer brief involving AI-generated product imagery, video, or social publishing at catalog scale. Treat the reported launch metrics as claims to test in a pilot, not established benchmarks.

Examples: Source 1 · Source 2

A post about a CNN Business Arabic feature frames the ambition as making AR accessible beyond e-commerce and argues that generative AI content should be credible and human-centered, prioritizing trust and transparency over speed.

Connects product claims to a stated design principle — AI should work for people rather than replace them — and grounds the technology story in a personal narrative of moving from the UAE to the United States to build the company.

The post reports the CNN Arabic feature and the patent claim; the underlying technology and the coverage were not inspected beyond this post.

For brands planning a campaign

Relevant for retail, fashion, beauty, or technology briefs involving virtual try-on, AR, or social commerce. The founder-led, mission-oriented framing suits a story or thought-leadership campaign better than a short performance campaign.

Examples: Source 1 · Source 2

The post explains the award's emphasis on measurable impact and business results over creativity alone, and argues that effectiveness today is about systems — connected acquisition, activation, and retention — and turning attention into sustainable revenue.

Applies the same systems framing used in the SaaS posts to an award context, listing what is changing in commerce work: AI, personalization, data infrastructure, and product-led growth.

For brands planning a campaign

Adds peer-level credibility on effectiveness and commerce measurement, supporting a brief where a brand wants its campaign judged on business outcomes. This is a stated judging role, not evidence of a client engagement.

Examples: Source 1

The post says twigBIG reached 250K users and $200K GMV in 2021, describes Soshify as built solo and live with paying customers, and says they are looking for a next full-time role.

Presents the record as a sequence of operating roles at increasing scale, from large-company growth work to two self-built companies, and invites direct contact.

The creator states all figures in their own post. The post also signals that full-time employment is the immediate goal, so confirm commercial availability before approaching a partnership.

For brands planning a campaign

Useful when a brief needs someone with operator-level growth experience rather than only content reach. The post states an active full-time job search, so confirm commercial availability and terms before planning a partnership.

Examples: Source 1 · Source 2

It scans an online store, generates product photos and videos, writes captions, and publishes to multiple platforms. They say it is live with paying customers and targets e-commerce and small-business brands.

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A later post says they built two companies from scratch, including twigBIG.

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The post places it in past work, not as a current engagement.

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The post’s topic tag also credits them for an award-winning 3D AI product. The post indicates past work there.

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The post is Hendi’s account of the coverage; the appearance is a media mention, not a commercial relationship.

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This is an industry affiliation, not a paid brand partnership.

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Mulhem argues that capturing one video and reconstructing it as an interactive 3D model is now practical on a product page, and describes building Voxelo to make that a normal part of an e-commerce shoot.

• Hendi builds AI-produced product photography and video for stores and pitched a patented digital fitting room for AR try-on.
• Both also write for the people who make product imagery, not just software buyers.

Mulhem's material stays within 3D capture and AR product views, framed as an extension of what a product photographer already sells. Hendi ranges wider, pairing e-commerce content automation with B2B SaaS growth systems, revenue operations and award-level effectiveness arguments.

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Boyle writes that the hard part of PLG through cloud marketplaces is the organisation, not the technology, and names the friction points: product teams not designing for self-service activation, finance not adapted to variable revenue, sales unsure when to engage product-qualified accounts, and pricing models misaligned with value. Hendi makes a parallel argument: combining product-led and sales-led growth is hard, and the chosen motion changes the feedback loop and the copy that carries it.

Boyle focuses on cloud marketplaces, enterprise ISVs and a 90-day launch plan across AWS, Azure and GCP. Hendi applies the same reasoning to a broader mix of B2B SaaS and e-commerce clients, as well as their own AI marketing product.

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Akbar argues that TikTok Shop starts the buying journey before a search, with content, creators, comments and live sessions doing the selling, and breaks winning content into problem-solution, product demonstration and creator review. Hendi makes the same point from the systems side; their product automates that kind of content production and publishing for brands.

Akbar teaches content strategy for direct-to-consumer brands on TikTok Shop. Hendi builds and sells the automation that produces and publishes that content at catalog scale, and also writes about B2B SaaS growth, not just retail.

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Boyle's posts describe the pattern directly: AWS already supplies free trials, usage-based billing, and self-service procurement, but most software vendors stall because product teams are not designing for self-service activation, finance has not adapted to variable revenue, sales does not know when to engage product-qualified accounts, and pricing is not aligned to the value metrics that drive acquisition, conversion, and expansion.

• For a cloud-delivered SaaS company weighing a marketplace route, that framing names the internal handoffs to fix before spending on campaigns.
• Boyle and a co-author also published a playbook covering activation that delivers value in minutes, pricing in AWS, Azure, and GCP, why product-led growth feeds sales rather than threatening it, and a 90-day plan to get a motion live and measurable.
• That is a closer match for cloud-marketplace guidance than Hendi's broader four-part systems list.

The scope is narrower.

• Boyle's posts focus on PLG through cloud marketplaces; they do not cover lifecycle messaging, funnel optimization, revenue operations automation, or continuous experimentation as a combined engine the way Hendi's posts do.
• Boyle's published posts describe a playbook and a co-hosted webinar, not an engagement model.
• A buyer seeking an operator embedded across the acquisition-to-retention chain will find less of that here.
• If the company does not sell through a hyperscaler marketplace, the marketplace-specific advice carries less weight than Hendi's general systems diagnosis.

Examples: Source 1 · Source 2

Mulhem's posts describe product-page evolution over twenty years and the persistence of hesitation at checkout, then offer a practical route to close that gap: capture video with any camera, reconstruct an interactive 3D model, and drop it onto the product page.

• Mulhem argues photographers are the unlock because they already handle lighting and studio time, so one shoot produces both hero photos and the 3D layer, and describes Voxelo 2.0 as one video becoming a full 3D digital twin, AR-ready, without 3D skills or expensive studios.
• For an e-commerce or retail-facing need, or a SaaS product whose conversion problem is visual demonstration, that is more specific than anything in Hendi's posts.

This is a different buyer task.

• Mulhem's material addresses visual commerce for product catalogs and merchant brands, with software and tooling as the commercial route; it shows no B2B SaaS acquisition, activation, or retention work.
• A SaaS company that needs connected growth systems would gain a format and conversion layer, not the engine repairs Hendi names.
• Mulhem writes as a founder building the product, so the posts read as company updates and category argument rather than a consulting method.
• Ask for engagement terms before deciding whether the offer fits.

Examples: Source 1 · Source 2

Akbar's posts argue that TikTok Shop changes where the buying journey starts: instead of capturing existing demand, content creates it, with attention, comments answering doubts, repeat videos building trust, and a live pushing the purchase.

• Akbar sets out three content buckets that carry the sale — problem-solution, product demonstration, and creator review — and the sequence: a problem creates attention, demonstration builds understanding, and creator trust drives purchases.
• For a brand that needs a repeatable system to turn attention into interest, trust, and sales, this is more concrete than Hendi's posts, which do not cover social commerce content formats.

The buyer task is consumer social commerce, not B2B SaaS growth.

• Akbar's framework covers content and creator trust on a discovery platform; the posts say nothing about product-led growth, lifecycle messaging, revenue operations, retention cohorts, or B2B sales handoffs.
• A SaaS company taking this route would get a demand-creation system and still need to solve activation and retention elsewhere, where Hendi's stated work sits.
• Ask Akbar for audience data, pricing, and engagement availability before deciding whether the offer fits.

Examples: Source 1 · Source 2