Jellyfish vs Allstacks: Investment Allocation Compared (2026)

Jellyfish and Allstacks both sell investment allocation as their headline use case, but they answer different questions. Jellyfish maps engineering work to strategic priorities for finance and product stakeholders; Allstacks maps engineering time to planned initiatives and automates R&D capitalization reporting. Neither publishes self-serve pricing, and third-party estimates put Jellyfish contracts at $30,000-$60,000 a year for a 50-200 engineer team. If you want a flat-priced, GitHub-native option instead of an enterprise procurement cycle, CodePulse fits a narrower slice of the same problem.

Both products emerged from the same category: engineering intelligence platforms that turned Git and issue-tracker data into a story finance teams could understand. But "investment allocation" means something slightly different at each company, and that difference should drive your evaluation more than a feature checklist will.

Neither Jellyfish nor Allstacks lists a price on its website. If a vendor will not tell you what a seat costs before a demo call, budget for a sales cycle, not a signup form.

What Do Jellyfish and Allstacks Actually Do?

Jellyfish positions itself as an engineering intelligence platform for aligning engineering output with business strategy. Its homepage describes a "Resource Allocations" capability under a Business Alignment banner, framed as the ability to see how engineering allocation maps to strategic priorities and rebalance work as goals shift. It ingests commits and pull requests from Git, tasks from Jira and Linear, and contextual business data from planning tools. Jellyfish has also expanded into AI investment tracking, publishing AI spend, token usage, and adoption data alongside its existing allocation views.

Allstacks positions itself around value stream intelligence: delivery forecasts, risk and bottleneck alerts, and traceability from business initiatives down to individual commits and pull requests. Its homepage leads with two specific claims: aligning investment to initiatives ("where engineering time goes to what's actually planned") and automating software cost capitalization into audit-ready reports "no timesheets" required. That capitalization angle is Allstacks' sharpest differentiation from Jellyfish, which frames allocation around strategic alignment rather than accounting compliance.

In other words: Jellyfish's allocation story is aimed at the strategy conversation ("are we investing in the right things"), while Allstacks' allocation story is aimed at the finance conversation ("can we prove what we spent, without timesheets, for an audit"). Both integrate with GitHub, GitLab, and Jira-family tools; both require an annual, sales-negotiated contract; neither publishes a self-serve trial.

How Do They Compare on Investment Allocation?

Every investment-allocation tool, regardless of vendor, has to answer the same three questions before a VP of Engineering can trust the number on a board slide. We call this the Allocation Lens:

Run Jellyfish and Allstacks through the lens and the split holds. Jellyfish answers question 3 with strategic alignment: allocation feeding OKR and roadmap conversations, not a capitalization ledger. Allstacks answers question 3 with an accounting deliverable: automated, audit-ready capitalization reports built to remove timesheets from the process entirely. Neither vendor's public marketing details exactly how question 2 (categorization confidence) is surfaced to end users, which is worth asking directly in a demo before you commit to a multi-year contract on the strength of a dashboard screenshot.

An allocation number nobody can audit is just an opinion with a pie chart around it.

How Do Jellyfish and Allstacks Price?

Jellyfish does not publish pricing anywhere on its site; the only path to a number is a demo request. Independent pricing research puts contracts for 50-200 engineer organizations at roughly $30,000-$60,000 in annual recurring revenue, climbing past $60,000-$100,000 for 200-500+ engineer organizations, with pricing typically calculated per engineering seat per year and annual-only contracts (no monthly option).

Allstacks does publish tiered pricing on its pricing page: Premium runs $400 per contributor per year for organizations up to 500 contributors, and Enterprise runs $600 per contributor per year for 101+ contributors with no published upper limit. A standalone R&D Capitalization tier is priced separately at $200 per contributor per year for unlimited contributors, and is SOC 1 certified. Volume discounts apply at larger contributor bands.

Neither Jellyfish's nor Allstacks' public pages state their onboarding timeline or data-sync frequency in enough detail to cite responsibly here. If either metric matters to your decision, ask for it directly in the sales process and get it in writing before you sign.

Which Integrations Does Each Support?

Jellyfish's public integration list covers version control (Git, GitHub, GitLab, Bitbucket, Azure Repos), issue tracking (Jira, Linear, Azure Boards, Productboard), AI coding tools (GitHub Copilot, Claude, Amazon Q, Google Gemini), and operational tools (Jenkins, CircleCI, PagerDuty, Slack). Allstacks' public pages mention GitHub, GitLab, and Jenkins. Third-party coverage of Allstacks also lists Bitbucket, Azure DevOps, and Jira support, but the current allstacks.com marketing pages do not enumerate every connector in the same depth as Jellyfish's site.

Both vendors integrate broadly across source control and project management, which fits their target buyer: a VP of Engineering or CTO managing a multi-tool estate across GitHub, Jira, and several CI/CD systems at once. Neither is GitHub-only, and neither markets file-level or review-network depth as a differentiator. That granularity is what a broad-coverage tool trades away in exchange for supporting every stack a large enterprise might run.

Which Should You Choose?

Where Does CodePulse Fit?

CodePulse is not a drop-in replacement for either tool. It does not do R&D capitalization, OKR mapping, or delivery forecasting. What it does is a narrower, GitHub-native version of the same allocation question: where did engineering time actually go, broken down by pull request rather than by a rolled-up strategic category.

For a broader executive view, the executive summary pairs allocation with cycle time and health-grade context on a single page you can export for a leadership meeting, without a professional-services engagement to configure it. The allocation categories are visible and editable on every pull request, which addresses the second Allocation Lens question directly: nothing in the number is a black box.

The fastest way to lose trust in an allocation dashboard is to hide how a PR got its category.

CodePulse is priced flat per organization rather than per contributor, starting with a free tier and a Pro plan at $199 a month, or $1,788 a year billed annually. That is a materially different cost curve than $400-$600 per contributor per year at Allstacks, or an estimated $30,000+ annual Jellyfish contract, but it buys a narrower product: no capitalization automation, no OKR mapping, and GitHub only. If your organization needs those specific capabilities, that price gap is not a bargain, it is the cost of the features you would be giving up.

For deeper reading on each vendor individually, see our Jellyfish alternatives guide and Allstacks alternatives guide, or the full engineering analytics tools comparison for how they stack against LinearB, Swarmia, and the rest of the category. If your board wants the KTLO-vs-innovation framing without the enterprise price tag, our KTLO vs innovation investment profile guide walks through how to categorize and present that split to executives.

If you want to see your own allocation breakdown before deciding on anything, start a free CodePulse trial. You will see real categorized PR data from your repositories in minutes, not after a demo call and a follow-up proposal.

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