Tunl.

Name: Tunl.
Brand: Tunl.

AI Native

Re-imagining personalized shopping, starting with fashion.

Est 2022

LinkedIn 399|Website|FTEs 51|HQ Los Angeles, California, US

Published Jun 25, 2026

01Common complaints

- For broad product search needs, established services (e.g., Google Shopping/Lens) may be sufficient and do not apply an incremental service fee. - For fee-sensitive purchasers, the reported 5% per-transaction fee may outweigh the time savings provided by the service. - For buyers who require maximum transparency and control, the agentic checkout model introduces ambiguity regarding merchant of record, dispute handling, and the operational meaning of "verified sites." Buyers with strict transparency requirements should prefer direct purchases or providers with detailed merchant and payments disclosures. - For users who require Android or desktop-first workflows, FindGPT appears to be iOS-focused. - For those who do not want AI-mediated transactions or delegated checkout, a manual discovery and checkout workflow avoids delegating purchase completion to the app.

Deal disqualifiers

Users unwilling to store payment details or delegate checkout.
Users unwilling to pay an incremental service fee.
Users who require Android support or desktop-first workflows in the near term.

Publicly observable limitations

Limited public documentation on security model, retailer verification, dispute and returns handling, and data handling practices.
Accessibility: App Store indicates the developer has not specified supported accessibility features.
Platform scope: iOS-first availability.

Roadmap signals

Public messaging indicates plans to expand beyond fashion into categories such as skincare, sneakers, home, and technology, and to introduce additional vertical agents; timelines and delivery details are not independently verified.

02Why they buy

Differentiators supported by available evidence

Integration with social discovery workflows: the product accepts tags and DMs from Instagram and uses screenshots or links as input for product identification.
Discovery of lower-cost or similar alternatives to identified products.
Reported ability to perform cross-merchant delegated checkout, enabling users to complete purchases across supported sites through a single interface.

Areas where competitors have clearer advantages

Scale and merchant coverage (e.g., Google’s shopping graph).
General research and guidance capabilities in conversational AI platforms.
Established payments infrastructure and disclosure practices among larger incumbents.

03Field reports

No formal, independently verifiable customer case studies were identified in this research pass.

Review platform coverage reality check

FindGPT is a consumer iOS app and does not appear to have material coverage on major B2B review platforms such as Gartner Peer Insights, G2, TrustRadius, or Capterra.

Sources of available user feedback

The most informative feedback available in this research pass comes from App Store reviews and independent technology press hands-on coverage.

Positive feedback (examples)

An Apple App Store review stated that the app showed potential and described value in identifying outfits observed in public settings.
A hands-on review in Tom’s Guide noted the app reduced search friction and likened the interaction to messaging a fast shopping assistant; the reviewer highlighted speed and time savings while noting imperfect accuracy in some cases.

Negative / critical feedback (examples)

Available critical feedback is limited in volume and derives mainly from independent hands-on reviews rather than large-scale review platforms: - Matching accuracy is not consistently precise, especially in images with multiple subjects or occlusion. - Trust concerns related to allowing an app to complete purchases on the user’s behalf were noted as a psychological and operational hurdle. - A reported percentage-based service fee is called out as a downside relative to fee-free manual alternatives.

Why customers choose it (inferred from reviews/coverage)

Faster product identification versus manual reverse-image searches.
Ability to remain within social workflows (Instagram DM/tag) for discovery and purchase initiation.

Why some customers might not adopt (inferred)

Low trust in agentic checkout or reluctance to store payment credentials.
Fee sensitivity: a reported percentage-based service fee may deter some shoppers.
Inconsistent results for niche items, images with occlusion, or multi-subject images.

Vendor/press metrics and claims (need validation)

Claims about agentic checkout security and verified retailers appear in vendor press materials and marketing collateral.
No independently audited security, fraud, or operational metrics were found.

Methodology gap: there is limited public detail on how retailers are verified, how returns or disputes are managed, or whether checkout is executed via secure browser automation, partner APIs, or merchant integrations.

04Best fit

Who is a strong fit

Consumers who frequently discover products on Instagram or TikTok and seek faster identification and purchase initiation.
Fashion-focused shoppers who value reduced search time and are willing to accept a service fee for delegated checkout.
Creators who seek monetization options that do not require manual affiliate linking, subject to validation of the platform’s creator monetization model.

Typical usage characteristics

Users performing multiple product-identification tasks per month (e.g., several).
Users willing to store payment methods or use the app primarily for discovery with manual checkout.

05The pitch

What the product does (objective value proposition)

Tunl. appears to publish/operate FindGPT, an iOS shopping app that identifies products shown in social media content (e.g., Instagram posts/reels) and returns matches to exact or visually similar items. Users can: - Tag or DM @FindGPT with a social post, upload a screenshot, or paste a link - Receive matches to the original product or visually similar alternatives, including lower-cost substitutes - Optionally use an agentic checkout feature (the app completes purchases on the user’s behalf across supported or described "verified" sites), as stated in vendor materials and press coverage The product is presented as a shopping layer that works on top of existing e-commerce sites rather than functioning as a single retailer marketplace. **Key claim (not independently verified):** The app charges a reported published per-transaction service fee, as stated in the PR launch announcement and repeated by third-party coverage.

Target market and positioning

- **Primary audience:** consumer shoppers (initially fashion-focused) who discover products via social media and seek faster identification and purchase flows compared with manual methods. - **Secondary audience:** creators and influencers; FindGPT is described as enabling creator earnings without manual affiliate linking. - **Positioning:** intended to reduce time and effort relative to manual reverse-image or manual retailer searches, with a workflow that integrates with social platforms.

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