SGfi.app VS GitHub
Compare SGfi.app VS GitHub and see what are their differences
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SGfi.app
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SGfi is a Singapore focused personal finance platform built around interactive tools and calculators rather than static comparison articles.
The mission is straightforward: give consumers tools to model their own numbers โ their actual spending, their actual income, their actual CPF balance, and see what the math says, instead of relying oneditorial "best card" lists that don't reflect individual circumstances.
Whether you're a fresh grad budgeting your first paycheck across cashback categories, a young professional optimizing miles for a Tokyo trip, a new PR understanding CPF allocation rules โ SGfi computes projections from inputs you control.
Every tool runs locally in the browser. No login required. No personal data leaves your device.
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SGfi.app's answer
SGfi takes a different approach: tool-first. Users enter their own monthly spend across categories, and the platform projects annual miles or net cashback for each card โ ranked by the user's actual spending pattern, not by editorial picks.
Based on our record, GitHub seems to be more popular. It has been mentiond 2474 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 4 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 12 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 12 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 12 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 22 days ago
MoneySmart - Personal Financial Management Online
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nerdwallet - Quora for Finance
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