Co

CoDiff, a new collaboration tool for developers

Hacker News

CoDiff, a new collaboration tool for developers

A recent HackerNews comment - “For one programmer's hourly cost, you could run 4000 CPU cores continuously. Can there really be no practical way to apply thousands of cores to boosting the programmer's productivity?” https://news.ycombinator.com/item?id=19339467 This is what we have come up with. The current productivity tools - Slack, Asana, Trello, Facebook Workplace, etc. - are great, but lack direct access to your code. Building a tool directly around the code makes it more powerful for software developers: CoDiff. https://codiff.com The foundation of CoDiff is a live-view of your teammates’ local Git repositories. This brings communication benefits that other productivity tools fundamentally cannot provide. Wherever you are working, you can essentially pull up a chair next to your coworker to see and discuss what they are working on. This live code view leads to a many other productivity benefits. Existing tools will let you know your teammates' task, but not the exact lines of code they are modifying. CoDiff on the other hand, can notify you in real-time when you conflict with one of your teammates. This greatly reduces the time spent in resolving merge conflicts, prevents duplicated work, and unobtrusively improves productivity. In the future, CoDiff will integrate with your favorite editors and other productivity tools for even greater benefits. A few examples: get conflict notifications in your IDE, set statuses according to Trello task, and share links to live code snippets on Slack. We currently have the first alpha build available on https://codiff.com . It’s completely free now and we would be extremely grateful for anyone to try it out. We never touch your git repository - no extra branches or commits - we are read only. We are looking for feedback at this point to help shape the future of the product–on the idea, the app, the workflow, or new directions. Anything you can share would be extremely helpful!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% 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, ide · Missing: https docs, excited, just released
70%70% 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: slack, new, code · Missing: mac, agents, macos
68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
25%25% 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
11%11% 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.

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