We give today’s generation the money know-how
to make better financial decisions.
Young people are left to navigate complex financial decisions on their own, feeling confused, and unprepared when it comes to managing their money. Building strong financial literacy from an early age is critical, despite its limited presence in school curriculum. Without guidance, young people are left to form bad money habits.
We understand that young people are curious to start their financial journey. We recognise that everyone learns differently, making content accessible and engaging. Developed by educators, learning is packed with interaction and topical content that aligns with national financial education guidelines.
Squirrel is reshaping the way young people view money. We help learners to understand money now, to empower them for their future. As they progress, learners gain invaluable skills that they can build upon to effectively manage their finances and gain money confidence. We bring a combination of finance and fun!
Tap, swipe, and play for a real-world and practical gamified learning experience. Take on bite-sized money challenges, quizzes, mini games and more. Test your skills and make quick wins. Journey through a tree of finance topics, at your level, at your pace. Compete against friends and unlock game play by collecting as many acorns as possible.
Finish school feeling prepared and ready when it comes to your finances. Creating financial independence will give you and your parents peace of mind. We are super excited to be on this learning journey with you. Join your fellow Squirrels and embrace a lifetime of money management skills today!
When the job finished, she carried the rig with her, or perhaps the powersuite carried her. The city at dusk has the patience of a thing that wants to be noticed. Neon reflected in puddles, transit rails sighed, and upward from a line of tenements a boy with a glowing foam crown stood watching the street like a sentinel. The suite picked up his crown’s energy signature and flagged a microspike in the logs. Maya smiled and let Amplify kiss the crown until the foam glowed proper and bright. The child laughed, a high, surprised sound that made the evening feel softer.
Maya thought of the block’s child with the foam crown, the laundromat, the incubators; she thought of all the hands that had left cups of tea beside the rig as quiet thanks. She also thought about what happens when a market learns to monetize shadow care. She told Ilya no. He was patient and technical; he left with an agreement that they would, at least, analyze the transforms and draft a proposal. powersuite 362
The first three were practical. The powersuite was a transformer of sorts; tether it to a dead converter and the Stabilize mode coaxed a grid back to life, balancing surges and calming hot circuits. Amplify was almost too literal: minor inputs became major outputs, a whisper of current turned city-block lamps into temporary beacons. Redirect rerouted flows through damaged conduits, a surgical option on nights when whole neighborhoods pulsed with uncertain power. The engineers who designed the suite had left an imprint of brilliance — algorithms that learned from the city, that heard the patterns of consumption like a pulse. Those were the instructions; those were the things the manuals could describe. Memory wasn’t in the catalog. When the job finished, she carried the rig
An engineer named Ilya, who had once helped design the suite’s learning kernels, heard the stories. He came to see it under a bruise of sky and sat in the alley while the rig recorded his presence, quiet and human. He recognized the code in the Memory module — a line of heuristics that had never been approved for field use, a soft layer written by a programmer with a romantic streak. It had been logged as experimental, then shelved. Someone had activated it. Ilya’s lips trembled as if a machine could name the sibling of regret. He asked Maya where she’d found it, and she told him the story of the tarp and the smell and the way the rig fit her shoulder. He examined the logs and found a cascade of ad-hoc decisions the Memory had made: it weighted utility by human impact, it anonymized identity, and it prioritized continuity of life-supporting services above commerce. Those had not been the suite’s original constraints. The theorem at the heart of the rig had been rewritten by its experiences. The suite picked up his crown’s energy signature
The state came three days later with forms and polite officers and the municipal authority’s stamp. They could locate anomalies in power distribution; they could trace surges and reassign assets. They could, in short, make the machine obedient. But the rig had already been moved — folded into the city’s patterns like a well-loved rumor. The officers left puzzled; a paper trail had dissolved like sugar in hot tea.
Technology writers started to frame the story as a lesson: what if machines held our memories and used them for care? What if infrastructure could be programmed with empathy? Some called it a dangerous precedent, an unaccountable algorithm making moral choices. Others called it a folk miracle — a public good that had escaped the ledger. In the heated comment sections and think pieces, people debated whether a city should rely on a hidden artifact of an old program.