Linkila

Linkila

AppSumo

Customers appreciate Linkila for its powerful features, including custom domains with automatic SSL, detailed analytics, and unique redirect rules. Some users have encountered issues with built-in domains and domain verification.

Customers appreciate Linkila for its powerful features, including custom domains with automatic SSL, detailed analytics, and unique redirect rules. Some users have encountered issues with built-in domains and domain verification. Despite these minor hiccups, Linkila's overall rating of 4.5 speaks volumes. With a 60-day money-back guarantee, it's worth giving Linkila a try for those in need of a reliable branded short URL service.

Share card

Actual performance

19reviews
Did not reach leaderboard

Traction signals

Rating4.5 / 5
Purchases348

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Strong signals: overall rating, users · Missing: plus, platform, intuitive
78%78% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io, including · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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