The archive · AI & Models · Product decision · 2016
Scale launches at YC S16 Demo Day betting developers will call an API for human labor
Scale, by Quora and Snapchat alumni Alexandr Wang and Lucy Guo, launched at YC S16 as an API for vetted on-demand humans doing work AI can't yet handle.
Scale
What the business is
Scale offers a REST API that developers drop into an app to request on-demand human work — categorization, content moderation, comparison, transcription and phone calls — done by screened, hourly-paid contractors with quality checks, competing with Mechanical Turk.
Starting capital：A small seed round from Arena VC plus a place in Y Combinator's Summer 2016 batch; coverage disclosed no amount.
How it started
Co-founders Alexandr Wang and Lucy Guo knew the problem from Quora and Snapchat, where manual content moderation of user-flagged images and posts was constant work, and from their first startup, a mobile app for booking doctor's appointments, which stalled because they spent all day calling doctors instead of building. That frustration became Scale: an API for the human-powered functions behind software.
What happened
Scale launched officially on 2016-07-25, three weeks old, freemium with five free requests and usage tiers after that, already processing 20,000+ API calls with customers Houzz, HigherMe, Hush and RealTalk plus seven pilots. The founders framed it as the reality behind the chatbot boom: assistants like Facebook's M and Magic looked AI-powered but leaned on human helpers because machine learning was not good enough yet. At YC S16 Demo Day 1 on 2016-08-22, TechCrunch reported Scale growing 40% week over week with over 50% gross margins, with Houzz using it to screen listings and Teespring using it for moderation and categorization.
No ending yet — it is still running.
Background
Scale, founded by Alexandr Wang and Lucy Guo, launched in July 2016 as a REST API for on-demand human labor: a developer adds one line of code and Scale's screened, hourly-paid contractors handle categorization, content moderation, comparison, transcription or phone calls, with a quality check before results return. The founders built it after running manual moderation at Quora and Snapchat and after their first startup, a doctor-booking app, collapsed under the time cost of calling doctors.
The pitch was that Mechanical Turk's open crowdsourcing produced low quality, while business-process outsourcing could not be called from code; Scale screened workers, paid them hourly at roughly two to three times Turk rates so they would not rush tasks, and offered quality-checked results through a standard developer API. Co-founder Lucy Guo argued that so-called AI assistants were the proof: Facebook's M and Magic worked because humans were behind them, since machine learning was not yet good enough.
Scale launched three weeks into its life with 20,000+ API calls processed and customers including Houzz, and it reached YC S16 Demo Day 1 on 2016-08-22 reporting 40% weekly growth and gross margins above 50%, with Houzz screening housing listings and Teespring moderating user content. The company's bet was that developers would treat human labor as callable infrastructure until machines could do the work.
What has to be true
- The founders had lived the pain: Quora and Snapchat ran manual content moderation, and their first startup died of phone calls to doctors instead of product development.
- Mechanical Turk's quality gap was the opening: open crowdsourcing let anyone in and output suffered, while Scale screened workers, paid hourly at 2-3x Turk rates, and added quality checks.
- The chatbot boom supplied the timing: 'AI' assistants like Facebook's M and Magic actually ran on humans, proving demand for behind-the-scenes labor delivered by API.
- Framing workers as an API made Scale developer infrastructure: one line of code instead of vendor negotiations, which is why YC S16 saw 40% weekly growth and over 50% gross margins.
What can be applied
Sell the work behind the hype: in 2016 every 'AI' product secretly ran on humans, so Scale packaged vetted workers as an API with quality checks — the layer AI would later need at scale.
Aftermath
As of 2016-08-22 Scale had launched publicly on 2016-07-25, processed more than 20,000 API calls in its first weeks with customers including Houzz, HigherMe, Hush and RealTalk, and presented at YC S16 Demo Day 1 reporting 40% weekly growth and gross margins above 50%, with Houzz and Teespring as marquee users.
Sources
- All 44 startups that launched at Y Combinator S16 Demo Day 1
- Scale lets companies outsource their human-powered tasks with one line of code
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