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Dashi – Business OS in Minutes

Hacker News

Dashi – Business OS in Minutes

## What is Dashi? Dashi helps businesses create complex internal tools, with the equivalent simplicity of composing a regular word document. ## Motivations We were in search of an internal tool builder to efficiently handle our customer's data. Unfortunately, we found ourselves messing with SQL in order to achieve the desired outcomes. It was disheartening to invest a significant amount of time into crafting a solution that didn't directly drive value for our clients. In reality, our primary concern was obtaining the final results, rather than delving into the intricacies of SQL programming. We believed that this sentiment would resonate with numerous individuals, including developers. In the year 2023, the process of generating dashboards and internal tools should be as intuitive as composing word documents. This very notion is the driving force behind the development of Dashi. ## What about existing tools 1. Retool and equivalents All existing internal tool builders, like retool requires their users to know how to use SQL to build handle more complex data. This is simply not acceptable for time-constrained teams. 2. Notion and equivalents Actually, what we needed was a simple to use interface like notion, but unfortunately, syncing a postgresql database to notion was not trivial and required third party services. ## Is this something you need? If this is something you want to see exist, do signup for our waitlist, www.dashi.dev, or help support the cause by giving us an upvote!

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3points
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Indie HackersFits the IH revenue-focused audience · Strong signals: including, efficiently · Missing: supports, reddit linkedin, podcasting
88%88% 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.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released
69%69% predicted probability of success on Hacker News, 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
68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, interface, efficient · Missing: plus, platform, reviews
41%41% 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
14%14% 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

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