De

Depoxy – DataOps UI for the AWS data stack

Hacker News

Depoxy – DataOps UI for the AWS data stack

Hi HN, During this year we have been building Depoxy, a tool for managing and optimizing data pipelines on AWS. The main reasons for building Depoxy are: the current UIs for managing data pipelines are inefficient optimizing data pipelines has a lot of potential both in CO2 and financial terms Where is this inefficiency coming from and how much better we can get? The UI and the tooling around data services are not integrated at the level it is optimal. This is the reason why having an integrated UI improves the workflows by 50% (22s vs 54s). You can check out the video we have about a simple workflow. How much optimization? We have 10 years experience with various clients in this space and based on the previous experiences the optimization potential is between 10 - 30% year over year infrastructure cost. This is a lot for many companies, especially nowadays. Where are we with this product? This is the first iteration of the product and we just got started. The next iteration is going to be metadata analytics engine for data that is stored on AWS S3. Based on the metadata we can get insight into the efficiency of the data set and provide guidance for optimizing it. The second next iteration we are planning to implement a SQL parsing engine that provides automatic data lineage so that people can track how data flows through their system. Detailed blog post with a lot more: https://www.depoxy.dev/blog/2022-12-07-introducing-depoxy Let us know what you think. If you find any problems, issues (even security bugs) please let us know. Thank you in advance.

Share card

Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
78%78% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, pipe, io · Missing: https docs, excited, just released
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: efficient · Missing: plus, platform, intuitive
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Th
The Segment AWS Stack64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Segment AWS Stack

Hacker News237
AW
AWS Bootstrap – Full stack on AWS in one click57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AWS Bootstrap – Full stack on AWS in one click

Hacker News15
Fu
Full-Stack Microservices Deployments to Google GKE and AWS ECS66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Full-Stack Microservices Deployments to Google GKE and AWS ECS

Hacker News10
1-
1-click full-stack app on AWS48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

1-click full-stack app on AWS

Hacker News2
Le
Lemon – Alternative UI for AWS67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lemon – Alternative UI for AWS

Hacker News40
Sp
Splitgraph.yml – Terraform for your data stack46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Splitgraph.yml – Terraform for your data stack

Hacker News1
Te
Terraform AWS Starterkit47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Terraform AWS Starterkit

Hacker News2
AW
AWS Automator58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AWS Automator

Hacker News3
AW
AWS Inter Region VPC Peering39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AWS Inter Region VPC Peering

Hacker News1
Cf
Cfer Is a Ruby DSL for AWS CloudFormation59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cfer Is a Ruby DSL for AWS CloudFormation

Hacker News2