Tree Consultancy Auckland

Tree Consultancy Auckland

Indie Hackers
Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, just like, small businesses
65%65% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: api, 000, profitable
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, just released, open source
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: reviews, intuitive, videos
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, created, podcasting
24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

An
Angular 2 AoT Compilation and Tree Shaking Example36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Angular 2 AoT Compilation and Tree Shaking Example

Hacker News9
Im
Implementation of a 3-pointer AVL Tree39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Implementation of a 3-pointer AVL Tree

Hacker News2
Vi
Visualizing Binary Tree46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visualizing Binary Tree

Hacker News2
Ld
Ldd as a Tree and Much More38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ldd as a Tree and Much More

Hacker News2
To
Toy LISP compiler in C# (LINQ) expression tree75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Toy LISP compiler in C# (LINQ) expression tree

Hacker News2
Tr
Tree Dangler54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tree Dangler

Hacker News1
Th
The Lobste.rs invitation tree, visualized55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Lobste.rs invitation tree, visualized

Hacker News5
I
I ported Tree-sitter to Go57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I ported Tree-sitter to Go

Hacker News222
KD
KD-tree recommender system in Literate Coffeescript38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

KD-tree recommender system in Literate Coffeescript

Hacker News2
Tr
Tree traversal with ES6 generator43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tree traversal with ES6 generator

Hacker News1