My

My Sidetracked Project – A Free CSV Online Viewer with Charts

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My Sidetracked Project – A Free CSV Online Viewer with Charts

Here is my side project—it's a free CSV Viewer with charts that supports viewing data in both table and chart formats. It includes features like sorting, searching, filtering, and pagination in table view. It also supports plotting charts in bar, line, and area formats, horizontally, vertically, in grouped or stacked formats. Multiple series can be plotted at once, and any data series can be easily turned on or off. Additionally, it supports setting titles and saving charts as images. Here is the link to the tool: https://newbeelearn.com/tools/csvonline/ Here is the link to a demo: https://www.youtube.com/watch?v=w9xfGr5nd-I Backstory: I set out to develop something else but got sidetracked and somehow ended up building this. Because this wasn't planned, development happened haphazardly based on users' and my own needs, which has resulted in some unique features that don't really belong in a CSV viewer. For example, I was experimenting with themes and ended up adding them to the tool, so now you can view CSV data with multiple different color themes and adjust borders! Not sure who would want that, though. Similarly, there is support for importing data from Google Sheets because a user wanted it. Try it out and let me know if you like it or have any suggestions for improving it. No account is needed and it works locally without server after first loading.

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
70%70% 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
47%47% 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: google, users · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, user, new · Missing: mac, agents, macos
23%23% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
9%9% 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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