A creator-facing product
The official product illustration shows podcast creation and management in the current platform. It provides a visual reference for the type of product the early application grew into.
Explore this page (opens in a new tab)An early product build, handed over with care
Initial app and backend development, followed by training for the client’s team.
Daphnis worked on Hubhopper’s initial application and backend. The engagement included a transition to the client team so the product could continue beyond the original build.
Current public product imagery; the Daphnis engagement covered the initial app and backend.
Current product imagery shows the podcasting platform today. Daphnis worked on the initial app, backend and team handover.
The official product illustration shows podcast creation and management in the current platform. It provides a visual reference for the type of product the early application grew into.
Explore this page (opens in a new tab)The current analytics illustration adds context to the platform's creator tools. This later public material is presented separately from the scope of the initial Daphnis build.
The public listening page gives the audience side of the platform a place in the story. It complements the creator-facing material while the original engagement remains focused on the initial app and backend.
Explore this page (opens in a new tab)Training the client’s team was part of delivery, supporting the transfer of day-to-day product development.
Bring us your idea. We’ll shape the next step together.
What our clients value about working with Daphnis Labs.
The team at Daphnis Labs redefined what’s possible for Urbanface. They delivered a bespoke, animation-heavy website that remains incredibly quick and functional. The…
We wanted a unique, 'one-of-a-kind' feel for Glareen, and Daphnis Labs delivered an ecosystem that is both beautiful and technically superior. Their expertise in…
The level of technical depth Daphnis Labs brought to our Game project is unparalleled. While the front-end reel games are visually stunning and highly engaging, the…
Practical perspectives on AI, product engineering, commerce and modern software delivery.

Separate Kimi's API and coding-plan limits, budget cache writes correctly, and evaluate a repository refactor against behavior that must survive the change.
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Budget beyond Mercury 3's launch discount, check its streaming and reasoning defaults, and measure how quickly a support agent produces a correct, usable answer.
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Separate the model's context from each provider's limits, calculate a coding-pilot budget, and test a mobile layout repair before committing to self-hosted hardware.
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Compare recorded and realtime transcription costs, identify launch-documentation conflicts, and test whether a corrected collection request survives the trip from audio to an operations draft.
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Check the released model's token rates and API compatibility, calculate a realistic pilot budget, and evaluate image evidence against changing inventory records.
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Separate GLM-Legal's beta access from unconfirmed API terms, interpret its independent benchmark results, and test document evidence with a reviewer-inclusive cost model.
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Check the October 17 model update, peak and off-peak token rates, and new search charges, then evaluate an agent against versioned API evidence.
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Understand Timestral's time-step limits and weight license, estimate a local forecasting job, and design a retail backtest that cannot see future sales.
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Check Sonnet 5.5's token costs, thinking settings and conversation requirements, then evaluate coding changes against a concrete merchant-sorting fixture.
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Check Gemini 4 Argon's access rules, shared token budget and launch pricing, then use a controlled supplier-data evaluation to plan an API migration.
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