AI native agency for businesses seeking custom app solutions

Acquire.com

Formerly Synergy Labs. Rebranded in 2026.

Formerly Synergy Labs. Rebranded in 2026. Same business, same books. An AI native agency that helps businesses design, build, and launch custom applications. We do not write code by hand. Delivery runs only on our own proprietary agentic systems, which is why gross margins sit at about 70%. The company has 50 people: 10 in the US and 40 offshore in Uzbekistan and surrounding countries. There is a sales and marketing team, a delivery team, an operator running day to day, and a C-suite. The o...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$7,000,000

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, agentic, code · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: margin, margins · Missing: arr, mrr, revenue

45%45% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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