WAVECT vs TURING

Wavect or Turing. Algorithmic matching at speed, or operator-grade judgement on a sprint.

Turing runs a four-stage AI-automated vetting pipeline (work experience, MCQ, coding challenge, ML match) and produces a developer profile in 3 to 5 days on average, with no live human technical interview before the profile reaches the client. We run discovery, scope a sprint, and put a founder plus engineer in the room on every call. Speed of match is the Turing strength. Product judgement is ours. If your ticket is well defined and your stack is mainstream, the algorithm gets you there faster.

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“Turing matched us in four days. The match was technically perfect. We still needed someone in the room arguing about what to build.”

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How they actually differ

Six dimensions where Turing and Wavect actually diverge.

WAVECT DIMENSION ALTERNATIVE

Weekly outcome fee. €400 to €20,000 per week. No timesheets.

PRICING MODEL

Hourly billing. Publicly reported $100 to $200 per hour for mid to senior engineers (roughly $17,000 to $34,000 per month at full-time).

Discovery scoped in one to two weeks. Senior-only by design. Founder picks the engineer on every engagement.

MATCHING / VETTING

AI-automated four-stage pipeline with no live human technical interview before client sees the profile. Average match in 3 to 5 days per Turing's published figures.

Founder plus engineer on every call. Two perspectives in the room.

WHO YOU ACTUALLY TALK TO

One matched developer. Turing account team if you escalate.

We advise AND ship. The same person who wrote the doc writes the code.

SCOPE OWNERSHIP

You own scope. The developer executes the tickets you write.

EU-native. 17 countries served. EN and DE delivery, native German on both founders.

BUYER MARKET

Primarily US-buyer-focused per public marketing. English-only engagement and contracting.

Refund the last week if it did not blow you away. Cancel any week.

WHAT IF IT FAILS

Hours billed are hours owed. Turing trial periods vary by tier.

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When each is the better call

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When Wavect is the better call

  • The product question is open. You need someone arguing about the brief, not executing it cleanly.
  • Your contracting needs an EU counterparty: GDPR, [Werkvertrag](/glossary/sow/), invoice in euros, EN or DE delivery.
  • You want founder-grade pushback in the room when the call is 'should we even build this'.
  • You need one bill, one accountability line, both advice and implementation from the same operator.
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When Turing is the better call

  • The ticket is well defined and the tech stack is mainstream. The match algorithm has the data to do its job.
  • You already have engineering leadership in house to direct contractors. Scope ownership is solved on your side.
  • Matching speed matters more than product judgement. You need someone coding by Friday.
  • Your contracting is comfortable with a US-based counterparty and hourly billing across the engagement.

If the bullets on the right describe your situation, Turing is the leaner pick. If the bullets on the left describe it, talk to us.

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Relevant Wavect work

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FAQs

FAQs

Different mechanisms. Turing’s pipeline is automated: work experience survey, MCQ, coding challenge, ML matching, no live human technical interview before the client sees the profile. Our equivalent is that both founders are in the room on every engagement. The senior bar is structural, not algorithmic. Honest read: Turing scales further on raw match volume. We scale further on operator judgement.
No. Turing matches in 3 to 5 days on average per their published figures. We scope a sprint in one to two weeks before code lands. If your timeline is ‘someone shipping by Friday’, Turing is built for that.
No. We bill weekly outcomes, not hours. If hourly is non-negotiable on your side, Turing or a similar platform is the right tool.
Rarely directly. Turing’s buyer base is heavily US-headquartered with defined ticket queues. Our buyer base is EU and pre-PMF more often. The overlap exists when an EU founder is comparing operator-grade fractional against algorithmic matching.
Yes. When the founder has a clean ticket queue, engineering leadership in house, and a hard deadline on matching speed, Turing is a more efficient answer than we are. We will say so.
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