What do they actually do
Eggnog is a web platform for making short AI‑generated videos where the same character keeps a consistent look across multiple scenes. Creators can design or pick a character, generate and animate scenes from prompts or templates, publish on Eggnog, and remix other people’s videos (YC profile, Launch HN).
The site also hosts small, built‑in experiences (for example, a “Time Portal” interactive video) that showcase multi‑scene, character‑driven content (Time Portal). The founders initially seeded the community and encouraged users to share work on social platforms; early videos from launch drew attention on X/Twitter (YC profile, Eggnog on X, Launch HN).
Who are their target customer(s)
- Social media creators and short‑form influencers: They need distinctive, recurring characters for series but can’t afford or manage animation workflows, so output is inconsistent or slow. Eggnog’s character consistency and share/remix features address that gap (YC profile, Launch HN).
- Amateur animators and indie creators making short series: Keeping a character’s look consistent across scenes is time‑consuming or costly. Eggnog “learns” a character from examples and generates multi‑scene videos to reduce manual work (Launch HN).
- Meme‑makers and remix communities: Remixing characters/scenes quickly is clunky with current tools, so ideas die before they spread. Eggnog supports posting and remixing other users’ AI videos and leans on social amplification (YC profile, Eggnog on X).
- Small brands and social marketers needing episodic or mascot content: They lack a low‑cost way to produce recurring character videos at social cadence. Eggnog’s reusable character and set library aims to make consistent clips faster without studio budgets (YC profile).
- Educators, hobbyist storytellers, and interactive experience creators: They want to prototype short narratives or interactive videos without complex pipelines. Eggnog already ships lightweight, interactive, multi‑scene experiences like Time Portal (Time Portal).
How would they acquire their first 10, 50, and 100 customers
- First 10: Personally recruit creators from the founders’ network, YC contacts, and HN/Twitter respondents; hand‑hold onboarding, make bespoke demo characters, and have them publish while tagging Eggnog for amplification (Launch HN, Eggnog on X).
- First 50: Run a small “creator cohort” sourced from Twitter replies, HN commenters, and creator Discords/Subreddits, offering free credits, priority support, reposts, a remix contest, and a curated interactive experience to seed examples (Eggnog on X, Time Portal).
- First 100: Layer a simple referral program (credits + featured placement) with micro‑influencer partnerships and targeted creator ads; ship ready‑to‑use character/scene templates so newcomers can publish a finished clip in minutes (YC profile).
What is the rough total addressable market
Top-down context:
Eggnog sits within consumer AI video creation: short‑form, character‑led content with a public feed and remix model. It overlaps with AI avatar/video tools (Synthesia, HeyGen, D‑ID) and broader generative video platforms (Runway), but focuses on a creator‑centric, social library of reusable characters (Synthesia, HeyGen, D‑ID, Runway).
Bottom-up calculation:
If 200k–500k creators globally pay for Eggnog (subscription and/or credits) at an average of ~$15/month, the annual TAM for creator spend would be roughly $36M–$90M. This excludes potential brand/agency spend and any future viewer‑side monetization.
Assumptions:
- Targetable global base of 200k–500k creators who regularly publish short‑form video and value consistent characters/remixing.
- Average spend of ~$15/month per active paying creator (mix of subscription and credits).
- TAM scope limited to creator tooling revenue; excludes ads, rev share, or enterprise contracts.
Who are some of their notable competitors
- Synthesia: Text‑to‑video with AI avatars, widely used for training and marketing. Notable for enterprise features and localization; less focused on a public remix library or episodic creator feed (site).
- HeyGen: AI avatar/video maker emphasizing digital‑twin avatars and fast social clips. Strong for lifelike single‑avatar videos and UGC/ad workflows rather than a remixable character library (site).
- D‑ID: Creative Reality Studio for realistic portrait videos and real‑time avatars. Often used for agents, localization, and API integrations versus social remixing communities (site).
- Runway: Generative video and editing suite for creators and VFX. Production‑grade tools for shot creation/restyling, not a character‑library plus social remix feed (product).
- Kaiber: Stylized, music‑synced video generation for artists. Focuses on scene/animation generation from images and audio, not shared libraries of consistent, remixable characters (Superstudio).